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CAPEX vs OPEX in Digital Projects: What’s at Stake for Swiss Companies?

CAPEX vs OPEX in Digital Projects: What’s at Stake for Swiss Companies?

Auteur n°3 – Benjamin

Business leaders in Switzerland are faced with a major strategic decision when managing IT projects as part of their organisation’s digital transformation: should they prioritise CAPEX or OPEX? In other words, is it better to acquire and develop digital assets (servers, software, infrastructure) through capital expenditures, or to consume IT services via recurring operational expenses?

This structural choice directly impacts financial performance, technological flexibility, company valuation, and even digital sovereignty. In this article, we clarify these concepts and their implications, illustrating them with real-life Swiss business cases and sharing software architecture best practices to help optimise your digital investments.

CAPEX vs OPEX: Key Definitions and Differences

What is CAPEX (Capital Expenditures)?

CAPEX refers to capital expenditures made to acquire or improve long-term assets.

In IT, this includes, for instance, the purchase of servers and hardware, the development of custom software, or the construction of an internal data centre. These expenses are capitalised on the balance sheet and amortised over the life of the asset, meaning the cost is spread over several years. The company becomes the owner of the asset, with all the associated advantages: full control, tailored customisation, and potential long-term value of its technology estate.

However, CAPEX involves a substantial upfront financial commitment, which can significantly impact cash flow. It also requires foresight, as technology assets may become less relevant over time due to evolving business needs and rapid innovation. It is therefore crucial to plan CAPEX carefully, taking into account the asset lifecycle, future upgrades, and the infrastructure’s capacity to evolve over time.

What is OPEX (Operating Expenditures)?

OPEX refers to the ongoing operational expenses required for day-to-day functioning.

In IT projects, this includes subscription-based services, pay-as-you-go cloud resources, monthly software licences, outsourced maintenance, and more. OPEX is recorded as an operating expense in the current year’s income statement. Unlike CAPEX, it does not require a large upfront investment: costs are spread out over time, making IT spending more predictable and easier to track month by month.

This model provides welcome flexibility: services can be scaled up or down as needed, with no long-term financial commitment. For example, rather than purchasing servers, a company may opt to use cloud services billed based on consumption.

However, OPEX also has its drawbacks. Over several years, ongoing payments may exceed the cost of a one-time investment. Moreover, relying on external vendors for critical services creates a dependency that can limit the company’s control over its infrastructure. If the provider experiences operational issues or changes its terms, this can have direct consequences on the client company’s operations.

In summary, CAPEX comes with ownership and upfront effort, while OPEX offers flexibility and smoother cost distribution — each approach has its pros and cons, and it is essential to understand them fully.

Impact on Financial Performance and Company Valuation

The CAPEX vs OPEX decision has a significant impact on a company’s financial statements and on how investors or shareholders perceive its health and value. From an accounting and financial perspective, the treatments differ substantially.

CAPEX expenditures are capitalised, recorded as assets on the balance sheet, and amortised over several fiscal years. This increases the company’s assets and potentially its equity, improving certain financial ratios (such as debt or solvency ratios). On the other hand, if the investment is debt-financed, long-term liabilities also increase.

OPEX expenditures, by contrast, are fully recorded as expenses in the income statement for the current year. They reduce net profit and operating margin in the short term but provide immediate tax relief by lowering the taxable income for that year.

From a cash flow perspective, CAPEX requires a concentrated upfront outlay, whereas OPEX spreads the cost over time, resulting in more predictable cash flows from one period to the next. A company needing to preserve liquidity may lean towards OPEX to avoid a large disbursement, while a cash-rich company may opt for CAPEX to reduce future expenses.

In terms of company valuation, the CAPEX/OPEX structure can influence how long-term value is perceived. CAPEX is often associated with growth investments: analysts assess it to estimate ROI potential and future expansion. For example, a tech scale-up heavily investing in CAPEX to develop proprietary software creates valuable intangible assets (IP, exclusive technology) that can significantly boost valuation in the event of an acquisition or IPO.

Conversely, a highly asset-light company relying heavily on outsourced OPEX functions may show a lean balance sheet and little debt, which can appeal to investors looking for flexibility and variable cost structures. However, excessive reliance on OPEX may also be viewed as a risk (service contracts to renew, lower margins). There’s no universally superior model — it depends on cost structure and industry context.

That said, in challenging economic conditions (e.g., tighter credit access), companies often reduce CAPEX and turn to OPEX-based solutions to minimise funding needs. In contrast, in a growth cycle, they are more inclined to invest in CAPEX to prepare for future scale.

In short, the company’s financial profile (profitability targets, cash constraints, debt strategy) and market expectations (asset-based vs recurring revenue-based valuation) should both be considered when choosing between CAPEX and OPEX.

Technological Flexibility and IT Project Agility

Beyond financial aspects, the CAPEX vs OPEX orientation directly affects a company’s technological flexibility and its ability to execute digital projects with agility.

With a CAPEX model, the organisation owns its infrastructure and software, allowing full control and custom configuration aligned to its specific needs. However, this control often comes at the cost of reduced adaptability: major upgrades may require new investments, and the company can become locked into past technology choices (legacy systems). In contrast, an OPEX approach — typically involving cloud or SaaS solutions — provides much greater elasticity by design. Cloud services allow real-time adjustment of allocated resources (compute power, storage, users), and costs are incurred only for what is actually used. This avoids unused overcapacity and waste, while ensuring immediate availability of additional resources during peak activity.

Moreover, service-based solutions include frequent update cycles — often invisible to the client — meaning the company continuously benefits from the latest features without having to plan complex migration projects every few years. In this sense, OPEX delivers operational agility that is invaluable in fast-changing digital environments.

This technical agility translates into the ability to quickly experiment or seize new digital opportunities. For example, rolling out a new analytics tool or mobile app for a pilot project is easier under an OPEX model (monthly subscription, quick setup) than under a CAPEX model, which would require upfront infrastructure deployment. As one expert puts it, “on-demand cloud services bring inherent benefits in eliminating waste, providing elasticity and, perhaps most importantly, enabling agility.” The pay-as-you-go model allows businesses to test, scale, and switch services as needed, giving them the responsiveness to act on market trends. This flexibility is central to digital transformation and continuous innovation.

However, the agility advantage of OPEX must be weighed against the technological dependency it creates. Choosing a SaaS solution or public cloud means ceding a level of control to a third-party provider: the company becomes subject to their release cycles, roadmap decisions, pricing policies, and even business strategy shifts. In contrast, a CAPEX model — especially one built on open-source technologies and custom development — allows full strategic independence. The code is owned, fully customisable, and free from external licensing or roadmap constraints. This level of control is especially important for Swiss companies seeking to build sovereign, sustainable digital assets tailored to their business needs and regulatory landscape.

For example, several Swiss banks have historically favoured custom-built proprietary systems, ensuring compliance, deep integration with their core IT, and exceptional stability. This CAPEX choice delivered long-term robustness, even if it sometimes limited short-term agility. In truth, it wasn’t the CAPEX model that hindered innovation, but often a lack of modularity or forward-looking architecture. Today, with modern design approaches (API-first, microservices, open-source stacks), it’s entirely possible to build modular, evolutive CAPEX solutions that offer both independence and adaptability.

In practice, the most successful companies combine both models wisely: they invest in a robust, custom or open-source software foundation to secure strategic control over core functions, and complement it with cloud or SaaS services to speed up the deployment of non-differentiating or experimental features. This hybrid architecture brings together agility, sovereignty, and budget efficiency.

Digital Sovereignty, Compliance, and Model-Related Risks

In Switzerland, digital sovereignty and regulatory compliance are key strategic considerations in the CAPEX vs OPEX decision — especially when sensitive data is involved.

Choosing a CAPEX model often means keeping data “in-house,” on servers that are physically or legally owned by the organisation (or at the very least, by a trusted local provider). This is frequently driven by confidentiality and regulatory requirements: certain types of data (such as in healthcare or finance) may legally be prohibited from leaving Swiss territory or must remain under Swiss jurisdiction. By investing in its own infrastructure or a local private cloud, a company ensures that its information is hosted in Switzerland, governed by Swiss law, and protected from foreign interference.

In contrast, relying on OPEX solutions from global providers (e.g., American hyperscalers like AWS, Microsoft Azure, or Google Cloud) can raise concerns around data protection and exposure to foreign laws (such as the US PATRIOT Act, Cloud Act, etc.). This is one reason why the Swiss Confederation is actively working on a sovereign cloud project: the Swiss Government Cloud, with an investment budget of CHF 320 million, aims to create a reliable, secure, and sovereign national cloud infrastructure to complement existing public cloud services. This public investment — which we will explore further in the next section — is motivated by the desire to reduce dependency on foreign providers and maintain control over government data. “It’s an investment in the future that strengthens sovereignty,” the Finance Minister stated when presenting the project. The Swiss Parliament has explicitly required that this sovereign cloud prioritise open standards, open-source software, and vendors headquartered in Switzerland, to maximise the country’s technological autonomy. This case illustrates how a major CAPEX-driven initiative (building one’s own infrastructure) can be justified by sovereignty concerns.

From a risk standpoint, each model carries its own pitfalls. A poorly scoped CAPEX investment can result in underused or outdated assets that weigh down the balance sheet (both financially and technically). Moreover, internalising services requires having the right in-house expertise to operate and secure them over time — which can be challenging in the absence of sufficient IT talent, creating operational risks. On the other hand, a fully OPEX-based model exposes the company to supplier dependency: if the provider sharply increases pricing, changes its service offering, or suffers a major outage, the client organisation may be directly impacted with no fallback.

It is therefore essential — particularly for Swiss mid-sized and large organisations handling critical data (banks, insurers, hospitals, public institutions) — to carefully assess the legal and operational risks tied to cloud services and outsourcing. Often, hybrid solutions or contractual safeguards are implemented to mitigate these risks (e.g., selecting clouds with data centres located in Switzerland, encrypting data, including reversibility clauses to repatriate data internally if needed, etc.).

In summary, digital sovereignty is now a decisive factor that can push companies toward greater CAPEX (to maintain local control), or toward carefully selected OPEX options (Swiss providers, private cloud) that guarantee an appropriate level of trust. Each organisation must weigh the sensitivity of its data and systems: which workloads can be hosted in a public external cloud, and which must remain secured within a tightly controlled perimeter?

In the next section of this article, we’ll look at concrete examples of CAPEX, OPEX, and hybrid strategies in Switzerland, as well as best practices to help you adopt an optimal structure for your digital projects.

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Real-World Examples of CAPEX, OPEX, and Hybrid Strategies in Switzerland

To ground these concepts in reality, let’s examine several Swiss use cases that illustrate different approaches — CAPEX, OPEX, or hybrid — along with their respective advantages and limitations.

Swiss Government Cloud: A CAPEX Investment in Public Sovereignty

A flagship example of a full-CAPEX strategy is the Swiss Government Cloud (SGC) — the sovereign cloud initiative launched by the Swiss Confederation. Faced with the sovereignty concerns discussed earlier, the Swiss government has opted to invest heavily in building a national cloud infrastructure dedicated to public administration. The Federal Office of Information Technology (FOITT) will lead this programme from 2025 to 2032, with the goal of establishing a hybrid multi-cloud platform serving federal needs while also being available to cantonal and municipal administrations.

The approach is clearly CAPEX-driven: the project involves creating a long-term infrastructure asset (data centres, software platforms) owned by the state. The expected benefits include greater independence from global cloud giants, local jurisdiction over sensitive government data, and a cost-price shared service offering for the entire public sector.

This choice enables full end-to-end architectural control: for example, emphasis is placed on using open technologies and Swiss-based vendors to avoid vendor lock-in. The limitations, however, lie in cost and complexity: mobilising hundreds of millions in funding and highly specialised talent over several years carries risks of budget overruns or partial obsolescence by the time the platform is fully operational — especially as the public cloud market continues to evolve rapidly.

Additionally, despite its ambition, the sovereign cloud will not offer the full spectrum of services available from hyperscalers — it is designed as a complement for critical workloads rather than a complete replacement of public cloud solutions. In short, this case reflects a deliberately CAPEX-oriented strategy driven by sovereignty and long-term vision, while also highlighting the significant governance challenges it entails.

UBS and Microsoft Azure: An OPEX Bet on Cloud Agility in Banking

Some Swiss companies favour an OPEX approach to boost their technological agility. UBS, one of the world’s largest private banks, adopted a “cloud-first” strategy as early as 2018 in partnership with Microsoft. By 2022, after migrating one-third of its applications to Azure, UBS announced plans to raise that figure to 50% by 2027 — including critical workloads. The goal: to accelerate the rollout of digital banking services, reduce fixed infrastructure costs, and lower the bank’s carbon footprint through more energy-efficient data centres.

According to UBS, the public cloud has helped halve certain production deployment cycles and enabled the faster launch of digital MVPs thanks to on-demand infrastructure. The integration of carbon impact tracking modules, co-developed with Microsoft, further illustrates how the OPEX model supports ESG commitments.

That said, such externalisation raises crucial issues for a systemically important bank: FINMA compliance, data residency (using Swiss or European cloud regions), continuous security audits, and robust reversibility clauses. UBS had to negotiate a strict contractual framework ensuring data confidentiality, resilience, and governance.

This case illustrates a broader trend: even traditionally CAPEX-heavy sectors like banking are now embracing cloud-based OPEX models for strategic projects — provided the associated risks are tightly managed.

The Hybrid Model: Combining CAPEX and OPEX for the Best of Both Worlds

Between the two extremes, most Swiss companies adopt a hybrid model that blends targeted CAPEX investments with smart OPEX usage.

According to a recent study, 56% of Swiss businesses using cloud services have also kept local servers — clear evidence that more than half are adopting a hybrid approach that combines cloud and on-premise infrastructure. This combination allows them to leverage the advantages of both models while compensating for their respective limitations. In practice, organisations typically allocate CAPEX to components they want to fully control or amortise over time, and OPEX to resources or applications where flexibility and scalability are key.

A typical example: a Swiss industrial company might keep its critical production management system running on dedicated servers (CAPEX) to ensure confidentiality and uptime, while using SaaS tools for support functions such as HR or CRM (OPEX). Similarly, a Swiss hospital may host its patient database on secure, in-house machines (CAPEX) to comply with data protection laws, while relying on cloud services for non-sensitive data analytics or logistics management (OPEX). This hybrid approach provides peace of mind for mission-critical systems, and agility for less sensitive workloads.

Cost optimisation is also a strong driver: savvy companies often invest in CAPEX for their baseline needs (steady and predictable workload levels) and use cloud-based OPEX solutions to handle peak loads or temporary projects. This strategy avoids overprovisioning: they own only what’s needed to cover the core, and scale flexibly through the cloud as demand spikes. In other words, CAPEX supports the “run”, and OPEX handles the “change” or the exceptional.

Best practices observed in this hybrid approach include a strong emphasis on interoperability: internal systems and external services must coexist seamlessly. This requires well-designed architectures (see next section) and clear governance. One common pitfall is turning hybrid into the sum of both models’ drawbacks — for example, by duplicating costs through redundant resources (overprovisioning on-premise while also paying for unnecessary cloud capacity), or by allowing technical complexity to spiral. However, with proper management, many Swiss companies find that a hybrid CAPEX/OPEX strategy is the most efficient and resilient approach to support long-term digital transformation.

Software Architecture Best Practices to Optimise Investment

Whether favouring CAPEX, OPEX, or a mix of both, how systems are architected plays a crucial role in the success of the chosen model.

A modern software architecture can enable an optimal investment structure by reducing reliance on any one irreversible choice. Here are several expert-recommended best practices:

API-First Approach and Open Architectures

Designing applications and services with APIs (Application Programming Interfaces) from the outset provides great flexibility.

It enables seamless integration between internal components and external services. For example, a business application developed in-house can consume cloud-based microservices via standard APIs — or vice versa, a SaaS solution can be swapped for another if the APIs are compatible. API-first avoids vendor lock-in and makes it easier to switch providers — invaluable when relying on OPEX services.

Additionally, by standardising interfaces, companies can transparently combine CAPEX and OPEX modules within their IT systems. Interoperability is key: it preserves strategic agility and keeps options open — whether to internalise a service if OPEX costs spiral, or to outsource if reducing CAPEX becomes a priority. The Swiss Confederation has taken this to heart, advocating for open standards in its sovereign cloud initiative — a recommendation relevant to all organisations.

Leveraging Open-Source Software

Open source is a powerful ally for maintaining control over your digital strategy while optimising costs.

By choosing proven open-source solutions (operating systems, databases, middleware, etc.), a company can reduce licensing costs (OPEX) and avoid dependence on a single vendor. Of course, “free” open source is a myth: CAPEX is still required to build internal expertise or bring in service providers to install, customise, and maintain the software. But this builds in-house knowledge capital and opens the door to collaboration with open-source communities for continuous improvement.

Moreover, open-source software provides transparency, especially in terms of security and compliance — the source code can be audited and strengthened if needed. Many Swiss organisations already combine open source and digital sovereignty: for instance, FOITT prioritises open source in the Swiss Government Cloud, and some Swiss banks self-host sensitive data in open-source databases to avoid foreign vendor lock-in. In this sense, open source is a CAPEX investment (integration time) that reduces recurring OPEX (licenses, royalties) and ensures long-term independence.

Modular Architecture and Microservices

A modular architecture breaks systems down into independent (or loosely coupled) components — ideally implemented as microservices in modern software ecosystems.

Each module serves a distinct function and communicates with others via standard interfaces. This modularity offers several benefits in optimising CAPEX and OPEX. First, it allows for per-component investment decisions: a company may choose to internally develop (CAPEX) a core module that delivers a unique competitive advantage, while using a SaaS solution (OPEX) for a generic module like payroll or email.

If modules are well-isolated, having one in OPEX doesn’t compromise the performance of those built in CAPEX, and vice versa. Second, modularity supports future evolution: if one module becomes obsolete or too expensive, it can be replaced without reengineering the entire system. For example, in a modular e-commerce architecture, you could swap payment providers (OPEX) without touching the product catalogue (CAPEX) or the rest of the platform.

This flexibility protects past investments and avoids the domino effect. “Design for change” becomes the guiding principle: companies anticipate that some components may migrate from cloud to on-prem or vice versa, depending on future needs. On an operational level, technologies like containerisation (Docker, Kubernetes) support this portability — the same container can run on internal VMs or public cloud environments, giving businesses the freedom to move workloads based on cost or compliance.

By adopting a modular, scalable, and resilient architecture, companies can continuously fine-tune their CAPEX/OPEX mix instead of being locked into a fixed structure.

In conclusion, these architectural best practices — API-first, openness, open source, modularity — are designed to minimise the constraints of any given investment model. They serve as a hedge against lock-in: even if today your infrastructure is predominantly OPEX-based in the cloud, you retain the ability to bring certain components back in-house as CAPEX tomorrow (or to switch providers) without rebuilding everything. Conversely, if you’ve heavily invested in CAPEX, an open modular architecture makes it easy to integrate new cloud services when it makes sense — extending the lifecycle and value of your assets.

These are agile architectural principles aligned with financial strategy, ensuring your digital infrastructure continues to serve evolving business needs over time.

Conclusion: Discuss Your Situation with a Digital Ecosystem Expert

The CAPEX vs OPEX dilemma goes far beyond accounting — it’s a true strategic lever for Swiss companies seeking performance, flexibility, and digital sovereignty. As we’ve seen, this decision affects a company’s financial structure, capacity for innovation, long-term valuation, and level of technological dependency. There is no one-size-fits-all answer: each organisation must define its own balance based on business realities, budgetary constraints, and digital ambitions.

In practice, hybrid approaches — combining long-term investments with on-demand services — are emerging as sustainable, agile solutions. But only if they’re carefully architected. Indeed, it’s the software architecture — modular, open, and scalable — that makes it possible to implement a CAPEX/OPEX strategy aligned with business goals.

At Edana, we design custom digital ecosystems that embed these principles from the ground up. By guiding executives and IT leaders through the technical and financial trade-offs, we help build solutions that are robust, scalable, and cost-effective.

Let’s discuss the best structure for your next digital project — and turn your IT investments into a sustainable driver of business performance.

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Budget Estimation and Management Guide for Digital Projects (T&M, Fixed Price, Hybrid)

Budget Estimation and Management Guide for Digital Projects (T&M, Fixed Price, Hybrid)

Auteur n°3 – Benjamin

In digital project management, budget estimation aims to determine the projected costs of a project, while budget control involves monitoring actual spending to ensure it remains aligned with initial forecasts. For decision-makers and technology leaders, clearly understanding the differences between pricing models such as Time and Materials (T&M), Fixed Price (lump sum), and Fixed Budget with Flexible Scope is essential for managing financial risks and ensuring the success of digital initiatives.

The Different Pricing Models

The choice of pricing model directly impacts the cost, flexibility, and success of your project: choose it carefully to avoid budget overruns, bottlenecks, and degraded quality.

Time and Materials Model (T&M)

The Time and Materials (T&M) model, also known as a time-based or hourly pricing contract, bills the client for the actual hours worked and the materials or resources used. It offers optimal flexibility for projects with frequently evolving requirements. However, its main drawback is the difficulty in accurately forecasting total costs, which can lead to significant budget overruns if management is not rigorous. It is the preferred billing method for agile providers, although agility and T&M are not necessarily linked.

Sometimes, it is more reassuring for a client to know the final fixed price the project will cost. Hence the following model, which provides financial peace of mind but also comes with its own set of challenges.

Fixed Price Model (Lump Sum)

The fixed price model (lump sum or fixed-price contract) guarantees the client a predefined cost for the entire project. This model is particularly suitable when specifications are clearly established from the start, thereby reducing the financial risks associated with unforeseen issues. Its main advantage lies in the budget predictability it offers, while its lack of flexibility can become problematic if changes are needed mid-project.

Often used in waterfall project management, where a highly detailed specification document is typically provided at the project’s inception, this pricing model remains dependent on the provider’s ability to correctly estimate the scope of work and resources required. One common issue, in the case of a poor estimate, is the provider reducing quality to mitigate financial losses, having to make trade-offs as a result.

As with the T&M model, strong trust is essential between the client and the service provider.

Fixed Budget with Flexible Scope Model (Hybrid)

The fixed budget with flexible scope model is particularly suited to ambitious yet functionally uncertain digital projects. It involves defining a maximum budget upfront while leaving room for flexibility regarding the features delivered, based on business priorities and constraints encountered along the way. This model is ideal for organizations needing financial visibility without sacrificing agility.

In practice, this means features are continuously prioritized based on their added value, and those that do not fit within the budget can be postponed to a later phase or dropped if they become irrelevant. This is often referred to as a “sliding scope” or “negotiable scope” in agile frameworks like Lean or Scrum.

For example, in a project with a 200,000 CHF budget, it can be agreed that this amount will not be exceeded. The project team will work in short cycles (sprints) to deliver the highest-value elements first, adapting to user feedback and real-world conditions. Once the budget is used up, the project is concluded — with no financial surprises.

This model relies on a strong trust-based relationship, total transparency on progress, and regular client involvement in prioritization. It is often used in long-term partnerships or when the provider is seen as a strategic partner rather than just a supplier.

In the remainder of this article, we’ll explore the importance of accurate budget estimation for the success of a digital project, effective estimation techniques, how to manage and control a budget, and finally, some additional approaches to optimize your IT project budgets over the long term.

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The Strategic Importance of Accurate Budget Estimation

A rigorous estimation is crucial to securing your project and encouraging stakeholder engagement.

In a digital project — whether it involves software development, an e-commerce redesign, a business application, or any other IT project — budget estimation is much more than a simple upfront costing exercise. It is a strategic tool that informs technological choices, structures trade-offs, aligns stakeholders, and secures project execution in terms of both time and budget.

Why is accurate estimation so critical?

A poor or inadequate estimate can lead to:

  • Major budget overruns
  • Delivery delays due to underestimated workloads
  • Deterioration of final quality, impacting user experience
  • Loss of trust between stakeholders and the project team

Conversely, a well-constructed estimate allows:

  • Trust to be established between clients, business teams, and technical teams
  • Priorities to be phased according to available resources
  • ROI to be tracked closely at each milestone

Estimation Methods We Use

1. Analogous Estimation

This relies on analyzing similar past projects. For example, if a similar e-commerce project required 80 days of backend development, this reference can be used as a starting point.

Advantage: Quick to produce
Limitation: Less reliable if the context differs significantly

2. Parametric Estimation

This uses statistical models based on measurable parameters. For example, the cost of a module may be estimated based on the number of interfaces to connect or the number of simultaneous users. It requires historical data and a solid internal indicator database.

Advantage: Ideal for projects with many quantifiable factors

3. Bottom-Up Estimation

Each task is broken down, estimated individually, and aggregated into a total budget. This is the most precise method for complex projects, but also the most time-consuming.

Advantage: High level of granularity
Limitation: Requires deep understanding of the scope from the start

4. Participatory Estimation (Planning Poker)

In agile development, we use collaborative methods like Planning Poker, widely adopted in Scrum and cross-functional teams.

Each team member — developers, UX designers, QA, project manager — independently evaluates the complexity of a task using a scale (often Fibonacci: 1, 2, 3, 5, 8, 13, etc.). These estimates are made simultaneously to avoid influence bias. In case of significant discrepancies, a discussion follows to identify divergence points and reach a more reliable consensus.

Advantage: Strengthens team engagement and builds a shared understanding of risks and uncertainties

Don’t Freeze the Estimate: The Role of Forecasting

A good estimate isn’t fixed at project kickoff — it evolves. That’s why we include regular forecasting in our tracking methodology. At each milestone (typically monthly or quarterly), we reassess the gaps between forecast and actuals, adjust future workloads, and share this visibility with clients.

Real-Life Case: Swiss Watchmaking E-Commerce Project

In a complex e-commerce project for a retail client, we combined:

  • A parametric estimate based on similar past projects
  • A bottom-up estimate for critical modules (e.g., product customization, ERP integration)
  • Quarterly forecasting to adjust resources in real-time

This approach helped us stay within the initial budget envelope without sacrificing quality, while absorbing technical surprises specific to the luxury sector.

Key Takeaways on Financial Estimation for IT Projects

A reliable budget estimate isn’t based on a single formula. It is multidimensional, evolving, and collaborative.

It requires:

  • Relevant historical data and benchmarks
  • Estimation tools adapted to context
  • Project team involvement, including frontline insights
  • Continuous tracking that anticipates rather than reacts to gaps

This is the combination we implement at Edana to secure our clients’ most ambitious projects.

Budget Control and Monitoring: Plan, Track, Adjust

A rigorous tracking system helps detect budget discrepancies early and act accordingly.

In any digital project, budget control is a strategic lever. It’s not just about avoiding overruns: it’s about anticipating issues, optimizing resources, and ensuring profitability.

Why is it crucial?

A project that exceeds its budget without early detection can quickly become unprofitable or jeopardize other ongoing projects. On the other hand, a rigorous tracking approach allows adjustments before it’s too late and provides transparency to stakeholders.

Key Benefits of Good Budget Tracking:

  • Faster, better-informed decisions
  • Reduced financial risk
  • Improved project profitability
  • Strengthened trust between business, finance, and IT teams

Budget Control in Practice

This involves regularly comparing actual spending with initial forecasts. This approach allows:

  • Early detection of gaps
  • Understanding of their causes (delays, cost overruns, poor estimates, etc.)
  • Rapid corrective action (resource reallocation, scope reduction, renegotiation, etc.)

Our Approach

At Edana, we recommend weekly or monthly tracking depending on the project’s scale. For this, we use tools like Jira (task and workload management) and Confluence (shared documentation and reporting). These tools provide a clear, collaborative, real-time view.

Tip: Automate your tracking reports with dynamic dashboards. This saves project managers time and lets decision-makers focus on analysis and action.

Concrete Example

For a Swiss industrial SME, we implemented an agile monitoring method combining budget dashboards, weekly control points, and adjustment scenarios. The result: 30% fewer overruns and better visibility for top management, who could lead with confidence.

Optimize Your Budget with a Tailored Open Source Approach

A tailored and strategic tech stack maximizes ROI while minimizing hidden costs.

Using open-source technologies significantly reduces licensing and maintenance costs while avoiding vendor lock-in. This approach ensures greater flexibility and long-term control over your digital project.

Opting for a custom or semi-custom solution also brings significant budget management advantages compared to off-the-shelf software. The latter, often less suited to your company’s specific needs, can generate high technical debt and unexpected mid-term costs.

At Edana, our architectural vision prioritizes scalability, security, and environmental responsibility. For example, for a Swiss service company, we replaced a proprietary solution with a tailored open-source architecture, halving annual maintenance costs while improving operational efficiency. And this is far from an isolated case.

Take Control of Your Budget: Let’s Talk

Effective estimation and budget control are major strategic levers in the success of your digital projects. Whether your preference is for T&M pricing, a lump-sum contract, or a flexible hybrid model, adopting a proactive and thoughtful approach is essential to protect your business from financial risks.

At Edana, as a strategic digital partner for mid-sized and large companies, we turn budget challenges into opportunities to enhance competitiveness and secure long-term digital investments.

Want to estimate the cost of a web, IT, or software project? Contact us to speak with one of our experts.

Discuss about your challenges with an Edana expert

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Integrating ESG Principles for a Sustainable Digital Transformation

Integrating ESG Principles for a Sustainable Digital Transformation

Auteur n°3 – Benjamin

ESG (Environmental, Social, and Governance) principles are an essential framework for evaluating and steering the sustainability of your information system. In a context of digital transformation, decision‑makers and technology leaders must balance operational performance and CSR to reduce their digital footprint while maximizing business value.

Understanding ESG Principles in Digital

ESG criteria provide a framework to measure and steer the sustainability of your digital activities.

ESG principles highlight three core dimensions: environmental concerns (emissions, resource consumption), social factors (working conditions, societal impact), and governance (transparency, ethics). Often confused with CSR—which takes a broader, cultural and strategic approach—ESG delivers precise, comparable metrics. For decision‑makers, this distinction is crucial: ESG focuses on specific indicators, while CSR encompasses a wider societal responsibility.

Applied to digital, this approach examines everything from data center energy consumption to interface accessibility and data protection. It helps identify optimization levers—from selecting eco‑designed servers to adopting lightweight frameworks. By combining these indicators, technology leaders can demonstrate the ROI of an eco‑responsible strategy both internally and to stakeholders.

However, there is no one‑size‑fits‑all solution for building an ESG roadmap: each context is unique. ESG maturity depends on industry, company size, and geographic location. Before launching any development, map your usage patterns, suppliers, and stakeholders to define a bespoke, scalable trajectory aligned with your business objectives.

Deploying a CSR Strategy at the Heart of Digital Transformation

Embedding CSR from the design phase ensures responsible, value‑driven digital initiatives.

CSR is more than a label or an annual report: it must be woven into every phase of your digital roadmap. From the requirements stage, integrate digital sobriety criteria: limit data volumes, favor proven technologies, and optimize algorithms. This discipline reduces operational costs, limits technical debt, and strengthens team buy‑in.

Our team supported a Swiss SME in e‑commerce by overhauling its application architecture. By replacing a heavy proprietary solution with a mix of open source and custom‑built modules, we cut server consumption by 30% and improved platform maintainability. This approach promotes scalability and eases the future integration of sustainable features (environmental monitoring, responsible multilingual access).

Success also hinges on effective project management. Rely on an agile, collaborative methodology—using tools like Jira and Confluence—to ensure transparency, traceability, and to prioritize high‑value strategic aspects. By steering sprints with ESG indicators, you can adjust priorities in real time and document ESG gains for executive stakeholders.

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Benefits of Open Source and Custom Development for Sustainability

Open source and custom‑built solutions limit vendor lock‑in and optimize total cost of ownership.

Leveraging proven open source components allows you to share R&D efforts and benefit from community updates, reducing vendor dependency. When combined with custom development, this approach offers maximum flexibility to integrate CSR features—such as carbon‑tracking dashboards or eco‑design workflows.

Unlike off‑the‑shelf solutions that are often patched to fit needs, custom development eliminates unused features, reducing technical debt and resource consumption. Hosting and maintenance costs are optimized, and your company retains full control over its source code.

As ecosystem architects, we favor a blend of open source modules and from‑scratch developments. This model industrializes CSR best practices and enables your information system to evolve without massive code rewrites, ensuring security, resilience, and adaptability to future ESG requirements.

Governance and Scalable Architecture for Responsible IT

Agile governance and a modular architecture ensure the longevity of your ESG initiatives.

To embed sustainability into your IT, establish dedicated governance with clearly defined roles and responsibilities. Technology leaders must work closely with executive management and CSR functions to continuously refine the digital roadmap. Regular reviews combining ESG and business KPIs enable informed decision‑making.

Technically, a micro‑services or modular API architecture facilitates integrating new eco‑responsible modules without disrupting existing systems. Each component can be updated independently, reducing regression risks and deployment costs. This granularity also accelerates compliance with regulations such as Europe’s CSRD directive.

Finally, software eco‑design must become a cross‑disciplinary reflex: from database modeling to web or mobile frontends (Next.js, React Native…), every architectural choice should be validated based on environmental and social impact. This level of rigor guarantees responsible digital solutions that create value and drive competitiveness.

Passez à l’action et optimisez à la fois votre compétitivité et votre performance ESG

By integrating ESG principles into your digital transformation, you’re not just complying with standards—you’re building a sustainable competitive advantage. From defining environmental and social criteria to adopting a modular open source architecture, every technical decision fuels your CSR objectives and strengthens resilience. Clear governance paired with custom development helps you control costs and impacts while staying ahead of regulatory changes. Interested? Let’s discuss your challenges with an Edana expert.

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Reducing the Carbon Footprint of Your Digital Infrastructure: Green IT

Reducing the Carbon Footprint of Your Digital Infrastructure: Green IT

Auteur n°3 – Benjamin

In a world where digital transformation is essential, its environmental impact is becoming a growing concern for IT departments, business leaders, and boards of directors alike.

How can you combine technological performance with environmental responsibility? How can digital systems serve as a competitive advantage—without increasing your organization’s carbon footprint? In this context, Green IT (or sustainable digital practices) emerges as a strategic area of focus, especially for Swiss companies aligning their roadmap with ESG criteria.

At Edana, we support organizations in designing tailor-made software solutions, incorporating an eco-friendly, scalable, and durable approach when aligned with their business strategy.

The Often Underestimated Environmental Impact of Digital Systems

Despite its virtual nature, digital activity has a very real environmental footprint. Today, it accounts for approximately 4% of global greenhouse gas emissions, a figure that continues to rise.
At the enterprise level, IT infrastructure—servers, cloud environments, applications, data flows—has become a major energy consumer, often with little visibility or oversight.

Key figures to keep in mind:

  • 80% of a digital service’s environmental impact occurs during its usage phase.
  • Poorly optimized code throughout its lifecycle can lead to high energy costs without delivering real value.
  • An over-provisioned server or poorly designed architecture can result in a digital carbon footprint equivalent to that of dozens of users.
  • The choice of technologies directly affects not only system performance, but also the system’s environmental impact.

These insights highlight the importance of making strategic decisions from the earliest design phases. A well-designed IT ecosystem is typically simple to manage, high-performing, and—naturally—less polluting.

In the next section, we’ll explore how Green IT can also drive growth and efficiency in your organization.

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Green IT: A Strategic Lever, Not a Constraint

Adopting a Green IT mindset means rethinking the real necessity of every technical resource: server processes, API calls, data volumes, update frequencies…
This approach ties directly into broader goals such as performance optimization, cost reduction, and infrastructure resilience.

It’s not just an environmental commitment—it’s an operational and strategic lever. A leaner system is faster, easier to maintain, and more adaptable to change. And as ESG regulations gain traction, it can also become a genuine competitive edge.

Lightweight, Scalable Technologies: A Foundation for Responsible IT

At Edana, we prioritize modern, high-performance, and widely adopted architectures. As it happens, many of these technologies are also resource-efficient. Some are inherently so, as they are based on non-blocking principles that allow them to take advantage of system idle times—significantly reducing server resource requirements.

These technologies enable the creation of applications that are not only sustainable and resilient but also capable of adapting to future usage without overconsumption—and in some cases, with underconsumption of resources.

Many companies have adopted these technologies to improve their agility, carbon footprint, high-traffic performance, and infrastructure maintainability. For example, both Walmart and Decathlon have migrated their back-end infrastructures to the Node.js runtime—based on JavaScript—which is one of these aforementioned technologies.

We work with technologies such as:

  • Node.js – Fast, non-blocking execution, ideal for real-time and high-intensity systems.
  • NestJS – A modular framework that promotes clean, maintainable code structure.
  • TypeScript – A typed language that strengthens code quality, reduces bugs, and simplifies long-term maintenance.
  • Optimized databases – PostgreSQL, MongoDB, Redis—selected based on your business logic and performance needs.
  • Responsible cloud infrastructure – We work with Swiss (or European, when appropriate) providers committed to reducing digital carbon emissions, with dynamic resource management (autoscaling, sleep mode, etc.).

This technical foundation allows you to balance innovation, efficiency, and responsible software development, with no compromise on performance.

Talk with a digital expert

Green IT in Action: Practical Technical Levers

Whether you’re building your IT infrastructure internally or with a partner, here are some practical Green IT techniques to consider:

  • Optimizing server requests (caching, aggregation, pagination) to reduce network load and CPU consumption.
  • Compressing and converting media (WebP, SVG, lazy loading) to streamline front-end interfaces.
  • Modularizing code to eliminate redundancy and promote component reusability.
  • Intelligent data management: automated archiving, clean-up routines, and differentiated storage based on data criticality.
  • Offloading heavy tasks asynchronously, using job queues or background workers.

The use of naturally scalable and lightweight technologies, like JavaScript runtimes such as Node.js and its many libraries and frameworks, plays a major role. The result? Fewer servers, leaner code, faster execution, and easier maintenance over time.

This last point is covered in more detail in the next section.

Remember: even minor optimizations can have a substantial impact across a large infrastructure or user base.

Non-Blocking Technologies and Efficiency: A Natural Synergy

Non-blocking technologies like Node.js offer asynchronous execution that requires significantly fewer resources while maintaining high performance.

What does that mean in practice?

  • Fewer active threads = less processor load
  • Applications can handle more concurrent users with fewer servers
  • Greater elasticity in cloud environments, resulting in lower costs and lower energy consumption

This kind of infrastructure design aligns perfectly with ESG-driven digital strategies that aim to combine growth and responsibility.

A Strategic Advisory Approach Tailored to Your Priorities

To successfully implement sustainable, eco-responsible IT, partnering with a digital consulting firm can help you select the best technologies and architectures—powerful, durable, and results-oriented.

At Edana, for example, we don’t apply one-size-fits-all models. Instead, we incorporate Green IT principles where relevant, depending on your business goals and your organization’s digital maturity.

Our support may include:

  • A technical audit focused on efficiency (CPU usage, storage, data flow, processing).
  • Architecture recommendations for scalable and lean infrastructures.
  • A framework for eco-friendly software design: reusable components, decoupled layers, streamlined business logic.
  • Custom dashboards that include energy performance or carbon impact indicators if needed.

Everything we do is geared toward helping you achieve your performance, agility, and sustainability goals.

Cloud and Green IT: Conditions for Sustainable Digital Systems

Cloud computing is often viewed as an inherently eco-friendly solution. But its real impact depends on several key factors:

  • Your provider’s credentials (certified data centers, renewable energy sources, strong ESG policies).
  • How your architecture is dimensioned (autoscaling, deactivation of idle environments).
  • How you orchestrate your services (containerization, serverless architecture, on-demand functions).

A well-managed cloud infrastructure can meaningfully reduce your digital carbon footprint—but only if it’s designed with rigor and sustainability in mind.

ESG and Responsible Digital Practices: Expectations Are Rising

ESG (Environmental, Social, Governance) criteria are playing an increasingly important role in how organizations are evaluated—including in the tech and software sectors.

More and more businesses are required to document their responsible digital practices, whether in CSR reporting or as part of public or international tenders.

Integrating Green IT into your digital initiatives is not just a matter of values—it’s becoming a compliance and competitiveness issue.

Ready to Transition to Eco-Performance?

Adopting a Green IT approach doesn’t mean sacrificing performance. On the contrary—it’s a way to align your business and technical goals with a responsible, optimized use of digital resources.

At Edana, we believe high-performing software systems stem from well-informed technology choices, lean architectures, and clear governance. When sustainability is one of your priorities, we provide concrete, measurable solutions aligned with your ESG ambitions.

Looking to build a more responsible digital system—without compromising performance? Let’s talk.

Talk with a digital expert

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Digitalize Your Business with a Digital Experience Platform

Digitalize Your Business with a Digital Experience Platform

Auteur n°4 – Marie

Digital Transformation with Digital Experience Platform

Technological advancement has been the base of success for numerous industries, Nowadays, undergoing digital transformation with a Digital Experience Platform is one of the best options for numerous companies.

The digital transformation itself ensures that any specific company will be able to successfully use new, fast, and rapidly changing digital technologies to solve their issues and improve themselves.

A Digital Experience platform is a key factor for delivering richer, real-time, connected, and more personalized customer experience to ensure the success of your company. You can also read another article to understand – “How Digital Experience Platform Can Improve Your Brand’s Performance”.

Components of Digital Experience Platforms

Digital Experience Platform (DXP) has several important components that make your job easier and more productive. First of all, you can manage your content and assets more easily. Asset management of course includes managing digital assets, like images, videos, etc.

You can use it for E-Commerce and make online shopping and payment processing better, in order to increase customer satisfaction levels.  You can also experiment a bit to discover more about your capabilities, and options and just improve your company.

Also, you can track and manage customer data, have tools to analyze content and channel performance, and easily share your information and assets with other websites and devices.

Set Digital Plan for Your Business

Plan carefully what you want to achieve and how digitalization can improve your business in this case. Determine which aspects are more important for you and devise a business plan, that will not only ensure your digital transformation but will make you more competitive as well.

Using Digital Experience Platforms is a great way for numerous industries to improve their services and ensure their success on market. People always expect to see something different in your company, a new approach, a new vision. With the correct plan and digital experience platform, you can make them see your strengths and true value.

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Have Mobile-Friendly Support

Numerous people use mobile phones, so while talking about digitalization it’s important to ensure that no matter what you are doing, to make it mobile-friendly. People who are your loyal customers or are just browsing through the internet, find most of the information via their mobile phones and create first impressions about you.

Improve SEO with Digital Experience Platform

SEO management is crucial for companies, but you can use the systems that will include this component and make your website more visible. These kinds of digital experience platforms can help you to improve your business and expand your horizon.

For example, Adobe Experience Manager has numerous tools that can help you to set up a search engine optimization (SEO) strategy for your website. Bloomreach’s SEO can help you determine what your customers are interested in and help you to increase their engagement levels.

Key Features That Your Digital Experience Platforms Needs

Performance-driven Digital Experience Platforms should have several key features in order to work successfully for your business. Companies mostly use DXP to deliver more rich and personalized experiences for customers, but when you implement DXP in your digital transformation strategy you will see that it can do much more for you.

DXPs that can play the main role in the digitalization of your business, can do various tasks for you. Their rich ecosystem ensures that you’ll be able to create a specific product or develop a winning idea in one environment, without additional tools or systems. Data that is given to you by DXP, tells you more about the preferences of buyers, their behaviors, and their activities.

Despite the fact that most of the DXPs are able to fulfill all the requirements that you might have, you still have to go through them and choose the one that suits your needs best. You can read more about them in one of our articles – “Top Digital Experience Platforms (DXP)”.

DXP is a Logical Step in Your Digital Transformation

Customers actively search for better digital experiences, and that’s why companies try their best to fulfill their expectations with more innovative approaches. This is the digital era and businesses that have more digital aspects integrated into their strategies come on top.

Digital Experience Platforms are already replacing basic web content management systems, soon it might be only DXPs that will be used, so the rush to get them and use them isn’t really surprising. No matter what’s the business goal, or what’s the future of the company, DXP still will be a great advantage for anybody.

What We Offer

For more similar articles, make sure to scroll through our Publications on Edana. Your Swiss Digital Agency is ready to provide you with Expert-Level assistance built on customer loyalty, progressive ideas, and dedication. Our expertise includes Digital Strategy and Audit, and many more.

PUBLISHED BY

Marie

Marie is an expert in digital strategy and project management. She audits the digital presences of companies and organizations of all sizes and in all sectors, and orchestrates strategies and plans that generate value for our customers. Highlighting and piloting solutions tailored to your objectives for measurable results and maximum ROI is her specialty.

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Health Data: Hosting Patient Records and Medical Data in Switzerland

Health Data: Hosting Patient Records and Medical Data in Switzerland

Auteur n°3 – Benjamin

Increasing digitalization in the healthcare sector

The importance of digitalization in the healthcare sector is undeniable. Organizations seek to optimize their processes, improve the quality of care, and enhance the confidentiality of medical information. The growing integration of artificial intelligence in healthcare also opens up new perspectives, with the collection of data from a multitude of medical devices. These data, valuable nuggets of information, allow for refining diagnoses and patient profiles, bringing medicine closer to a personalized approach.

Significant legal challenges in Switzerland

However, these technological advances, whether in telemedicine, connected devices (IoT), or business applications, software, or computerized patient records, raise legal questions, especially regarding the hosting of health data. Many providers of telemonitoring devices, patient record digitization, or custom application and software developers opt for storage on cloud servers. This raises questions about the legitimacy of outsourcing this data, whether hosting can be done in Switzerland or abroad, and also raises questions about security and regulatory compliance more generally.

In this article, we will explore what Swiss law says and what the best practices are for managing and hosting patient and health data. We will also address crucial points for securing a server intended to host sensitive data in Switzerland. Examples of secure digitizations carried out by our teams will also be provided.

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Respect for medical confidentiality and data protection (LPD)

Article 10a, paragraph 1 of the Swiss Data Protection Act (LPD) authorizes the processing of personal data by a third party under certain conditions. However, the question arises regarding compliance with medical confidentiality (art. 321 CP) in the transfer of data to third parties, especially to IT service providers.

The majority doctrine considers IT service providers as “auxiliaries” of healthcare professionals, allowing them to subcontract data processing without violating professional secrecy. However, this qualification poses a problem when the provider hosts the data abroad.

Hosting health data abroad (Azure cloud, AWS, etc.): A legal puzzle

Article 6, paragraph 1 of the LPD prohibits the transfer of personal data abroad if the personalities of the individuals concerned are seriously threatened due to the absence of legislation ensuring an adequate level of protection. However, the transfer may be authorized under certain conditions, such as sufficient contractual guarantees.

However, doctrine emphasizes that hosting medical data abroad may result in a breach of professional secrecy. The risk is exacerbated by the uncertainty regarding the applicability of art. 321 CP abroad and the possibility that a foreign authority may request the disclosure of this data.

This is one of the reasons why cloud services offered by web giants such as Amazon and Google such as Azure, AWS, Digital Ocean, Linode, etc., are generally to be avoided for hosting such sensitive data. Although some of these giants are starting to establish data centers in Switzerland, they are still controlled by foreign parent companies. From a purely ethical point of view, it remains safer to turn to a completely Swiss provider.

Our customized solution for Filinea and its data management

As experts in custom business software development and digital transformation, we have assisted various Swiss companies in storing and handling patient data and sensitive data as well as increasing their profitability and optimizing their operations.

Filinea is a company mandated by the state of Geneva to support young people in difficult situations. To optimize the daily work of its thirty or so employees, the company entrusted us with the development of a custom internal software. The management and storage of sensitive data (including medical data) were included, all of which are stored on a secure server located in Switzerland that our engineers deployed and manage according to appropriate security standards.

Discover the Filinea case study

Create your own secure digital ecosystem

In the following sections of this article, we will provide various technical and administrative recommendations regarding the protection of health data that we apply when designing our projects handling patient and health data in Switzerland.

Recommendations from our experts for prudent management of patients and medical data in Switzerland

Faced with these challenges, recommendations emerge to ensure the security of health data:

1. Prefer hosting in Switzerland

Opt for hosting providers in Switzerland as much as possible, benefiting from a strong reputation for data protection.

2. Ensure anonymization of health data

In case hosting in Switzerland is not possible, ensure that data is anonymized end-to-end, with the private key held by the data controller.

3. Obtain patient consent

If transfer abroad is unavoidable, obtain explicit consent from the patient for the transfer, thus lifting medical confidentiality.

4. Risk assessment

If transferring to a provider outside of countries recognized as offering adequate protection is the only option, carefully assess the risks and obtain explicit consent from the patient as well as lifting medical confidentiality.

5. Avoid violating medical confidentiality at all costs

If none of the previous options are possible (or in case of patient refusal), refrain from transferring data to avoid a breach of medical confidentiality.

Contact our experts to discuss your digitalization in complete safety

How to secure a server to host sensitive data such as patient data?

Hosting a server within a Swiss data center is not enough. Securing such a machine intended to host medical data is a crucial task that requires a rigorous and attentive approach. Confidentiality, integrity, and availability of data must be guaranteed to comply with security standards and protect sensitive information in the medical field. Here are some recommendations for securing a web server hosting medical data:

1. Encryption of communications

Use the HTTPS protocol (SSL/TLS) to encrypt all communications between the web server and users. This ensures the confidentiality of data transmitted between the server and users’ browsers. Be sure to use advanced encryption protocols and avoid weak encryption such as 128-bit whenever possible. Also, use a recognized and reliable certification entity.

2. Regular update of the operating system (OS) and software

Regularly apply security updates to the operating system, web servers, databases, and any third-party software installed on the server. Known vulnerabilities are often addressed by these updates.

3. Firewall and packet filters (Firewall)

Set up a firewall to filter incoming and outgoing network traffic. Limit server access to authorized IP addresses and block any unnecessary traffic.

4. Strict access control

Implement rigorous access control mechanisms. Limit access to medical data only to authorized users. Use individual user accounts with appropriate privileges.

5. Server monitoring

Implement server monitoring tools to detect suspicious activities, intrusion attempts, or abnormal variations in traffic. Well-configured activity logs can help identify potential issues.

6. Regular backups

Regularly back up medical data. Store these backups in a secure location, ideally off-site, to ensure recovery in case of data loss or a major incident.

7. Vulnerability management

Conduct regular security scans to identify and address potential vulnerabilities. Intrusion testing and security audits help ensure system robustness.

8. Strong password policies

Implement strong password policies. Require complex passwords, encourage frequent password changes, and use two-factor authentication mechanisms.

9. Isolation of services within the secure server

Isolate services on the server as much as possible. For example, run the database on a separate server and limit access to other services only to necessary machines.

Implement a secure, customized solution to manage my patient data

In summary: managing and hosting patient records in Switzerland

In conclusion, the dilemma of hosting health data in the era of artificial intelligence and digitization of companies and organizations raises complex issues, requiring a thoughtful approach in line with Swiss legal requirements. Respect for medical confidentiality and data protection should guide healthcare professionals’ choices in an ever-evolving digital landscape.

Hosting on a server located in Swiss territory and securing this server with reinforced cybersecurity measures is imperative to comply with current legislation and protect patient data as well as any sensitive data in general.

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How to Solve Performance or Bug Issues in Your Enterprise Software

How to Solve Performance or Bug Issues in Your Enterprise Software

Auteur n°14 – Daniel

When the performance of your enterprise software begins to degrade or bugs disrupt the smooth flow of your operations, it’s essential to act quickly and effectively to maintain productivity and user satisfaction.

In this article, we will explore strategies and best practices for identifying, analyzing, and resolving performance and bug issues in your enterprise software. From data collection to analyzing underlying causes, to developing and validating solutions, discover how to implement a systematic and rigorous approach to problem-solving and optimize the performance of your enterprise software.

Performance Issue Analysis

In any enterprise IT environment, performance issues or software bugs can have a significant impact on daily operations and employee productivity. That’s why a thorough analysis of these issues is essential to identify underlying causes and develop effective solutions to ensure smooth operation and productivity within your organization.

  1. Identifying Symptoms: The first step in the analysis is to identify the symptoms of performance issues. This may include delays in task execution, frequent software crashes, or slow response from the user interface. These symptoms can be reported by end-users or detected using performance monitoring tools.
  2. Data Collection: Once symptoms are identified, it’s crucial to collect detailed data on system performance. This may include measurements such as response times, system resource usage (CPU, memory, etc.), database queries, and application transactions. This data provides an objective basis for problem analysis.
  3. Analyzing Underlying Causes: Using the collected data, software engineers can begin to analyze the underlying causes of performance issues. This may involve identifying bottlenecks in the code, architectural design errors, server configuration issues, or defects in integrations with other systems.

Advanced Debugging Strategies

Once the analysis of performance issues is done, it’s time to implement advanced debugging strategies, essential for effectively identifying and correcting bug issues.

An advanced debugging strategy involves using sophisticated techniques and specialized tools to identify, analyze, and resolve bugs in enterprise software. This typically includes using powerful debugging tools that allow developers to examine code behavior in real-time, trace variables, monitor call stacks, and visualize execution flows.

An advanced debugging strategy often involves in-depth analysis of trace data to detect errors and unhandled exceptions, as well as code profiling to pinpoint performance bottlenecks and optimize them. Additionally, the use of advanced automated testing can be integrated into this strategy to expedite issue resolution and minimize operational disruptions.

By fostering collaboration among development team members and establishing structured debugging processes, organizations can maximize the effectiveness of their debugging efforts. Once this step is completed, it’s essential to move on to code and resource optimization to ensure optimal software performance.

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Code and Resource Optimization in Enterprise Software

Code and resource optimization are crucial aspects of enterprise software development, aiming to improve the performance and efficiency of IT systems. One of the key strategies to achieve this is to identify and eliminate inefficiencies in the source code, which can result in significant gains in terms of execution speed and hardware resource utilization. For example, regular code reviews help identify sections that may cause slowdowns or resource overuse, enabling developers to make targeted optimizations to improve overall system performance.

Furthermore, optimizing hardware resources is also essential to ensure efficient use of IT infrastructure. This may involve implementing memory and CPU management mechanisms to optimize resource allocation or using techniques such as caching to reduce data access times. For example, caching techniques can temporarily store frequently used data in memory, thereby reducing loading times and improving application responsiveness.

By adopting a proactive approach to code and resource optimization, organizations can not only improve the performance of their enterprise software but also reduce costs associated with IT infrastructure by maximizing the use of available resources. Ultimately, this optimization contributes to strengthening the competitiveness of the business by providing fast, efficient, and cost-effective software solutions.

Rigorous Testing and Validation

Rigorous testing and validation ensure the reliability, quality, and compliance with software functional requirements. A systematic testing approach involves several phases, from unit tests to integration and functional validation tests.

  1. Unit Tests: Unit tests verify the proper operation of individual software components by isolating each part of the code to ensure it produces the expected results. For example, in a stock management system, a unit test could verify the accuracy of stock level calculations for a given product.
  2. Integration Tests: Integration tests examine how different modules or components of the software interact with each other. This ensures that different elements work correctly together and that data is transmitted consistently between different parts of the system. For example, in an ERP system, an integration test could verify that accounting and human resources modules correctly share employee data.
  3. Functional Validation Tests: Functional validation tests assess whether the software meets the requirements specified by end-users. This involves testing software features under real usage conditions to verify that it produces the expected results. For example, in an online booking system, functional validation tests could verify that users can book tickets without encountering errors.
  4. Performance and Load Tests: Finally, performance and load tests evaluate the software’s ability to handle heavy workloads and maintain acceptable response times under maximum load conditions. This ensures that the software operates reliably even under high demand. For example, in an online banking system, performance tests could simulate thousands of users accessing the system simultaneously to verify its stability and responsiveness.

By implementing rigorous testing and validation at each stage of development, companies can minimize the risks of errors and malfunctions in their enterprise software, ensuring a smooth user experience and maximum customer satisfaction.

Continuous Improvement Process

Continuous improvement is a fundamental principle in enterprise software development, aiming to constantly optimize the performance, quality, and value of the final product. This process relies on a series of iterative and evolutionary activities, allowing for the identification of improvement opportunities, implementation of changes, and evaluation of their impact on the product and development processes.

  1. User Feedback Collection: A key component of continuous improvement is the regular collection of user feedback, allowing for an understanding of the needs and preferences of end-users. This can be done through surveys, usage data analysis, or direct feedback sessions with customers. For example, in a project management software, users might express the need for additional features to better track task progress.
  2. Performance Data Analysis: In-depth analysis of software performance data helps identify potential improvement areas and recurring issues. This may include examining performance metrics, error reports, and usage data. For example, analysis of system response times may reveal code bottlenecks requiring optimization.
  3. Change Planning and Implementation: Based on user feedback and performance analysis, development teams plan and implement changes to improve the software. This may involve feature updates, bug fixes, or performance optimizations. For example, a development team might decide to add real-time collaboration features to a word processing software in response to user requests.
  4. Results Evaluation: Once changes are implemented, it’s essential to evaluate their impact on the product and development processes. This can be done through validation testing, post-implementation performance analysis, or additional user feedback. For example, after adding real-time collaboration features to the word processing software, users could be asked to provide feedback on its usefulness and usability.

By adopting a continuous improvement approach, organizations can ensure that their enterprise software remains competitive, scalable, and aligned with the changing needs of users and the market. This iterative process continuously optimizes the performance, quality, and value of the product, ensuring maximum customer satisfaction and sustainable competitive advantage.

Conclusion

By analyzing these concrete examples and exploring recommended best practices, you can gain valuable insights into effectively solving performance or bug issues in your enterprise software. If you need personalized support and solutions tailored to your specific needs, don’t hesitate to contact our digital agency specialized in software development. With our recognized expertise in the field, we are here to help you optimize the performance and reliability of your enterprise software, ensuring the success of your IT operations.

PUBLISHED BY

Daniel Favre

Avatar de Daniel Favre

Daniel Favre is a Senior Software Engineer. He designs and builds bespoke business solutions (SaaS, mobile apps, websites) and full digital ecosystems. With deep expertise in architecture and performance, he turns your requirements into robust, scalable platforms that drive your digital transformation.

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Software Reengineering – When and Why to Resort to It

Software Reengineering – When and Why to Resort to It

Auteur n°3 – Benjamin

Software reengineering has become an essential element in the modern technological landscape. With the rapid evolution of user needs, technological advancements, and market requirements, many custom software systems are faced with challenges of obsolescence, inadequate performance, and incompatibility with new technologies. In this context, software reengineering emerges as an essential strategy to revitalize and modernize existing systems.

This article delves deep into the domain of software reengineering, examining the motivations, methods, and best practices associated with this crucial process. We will delve into the nuances of software reengineering, highlighting the telltale signs indicating the need for such an approach, the tangible benefits it can bring, as well as the challenges and strategies to overcome them.

Through concrete examples and case studies, we will illustrate how software reengineering can transform outdated systems into robust solutions tailored to contemporary requirements. Whether you are an IT professional, a business decision-maker, or simply curious, this article will provide valuable insights into software reengineering and its crucial role in maintaining the relevance and competitiveness of computer systems in an ever-changing world.

Understanding Software Reengineering

Software reengineering is a strategic approach aimed at revitalizing existing computer systems to improve their performance, efficiency, and maintainability. Unlike traditional software development, which involves creating new systems from scratch, software reengineering focuses on transforming existing systems to meet evolving needs and changing technological requirements. This approach is often motivated by factors such as technological obsolescence, the accumulation of defects and bugs, and the inability of systems to adapt to new business requirements.

Software reengineering encompasses a wide range of activities, from thorough analysis of existing systems to redesigning and reconstructing essential software components. This approach may also involve migrating to new technological platforms, integrating modern features, and optimizing performance. By understanding the ins and outs of software reengineering, organizations can make informed decisions regarding the allocation of resources and the planning of their computer system modernization initiatives.

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Indicators of the Need for Software Reengineering

When custom software begins to show signs of fatigue or inefficiency, several revealing indicators may emerge, thus indicating the need for reengineering.

  1. Impact on system performance and productivity

A stock management application might experience increased loading times, resulting in delays in order processing and customer dissatisfaction. Similarly, a Customer Relationship Management (CRM) system might suffer from an increased frequency of failures, leading to reduced productivity for sales and customer service teams.

2. Increasing complexity and maintenance difficulties

The increasing complexity of the software structure can make system maintenance and scalability difficult, as in the case of a project management software where adding new features becomes cumbersome due to outdated and poorly documented code.

3. Technological obsolescence and vulnerabilities

Technological obsolescence may manifest itself through the use of outdated programming languages or obsolete software libraries, making the software vulnerable to security breaches and limiting its ability to integrate new features and technologies. These examples illustrate the critical importance of carefully monitoring the health and performance of custom software and proactively engaging in reengineering initiatives when necessary to maintain their long-term competitiveness and usefulness.

Advantages and Outcomes of Software Reengineering

Software reengineering offers a multitude of advantages and significant outcomes for organizations engaging in this modernization process.

  1. Optimization of performance and responsiveness

Software reengineering improves the overall performance of computer systems by identifying and eliminating bottlenecks, code redundancies, and inefficient processes. For example, by optimizing data processing algorithms or migrating to more powerful cloud infrastructures, organizations can significantly reduce processing times and improve the responsiveness of their applications.

2. Long-term maintenance cost reduction

Software reengineering also reduces long-term maintenance costs by streamlining development processes, simplifying software architecture, and eliminating costly dependencies on obsolete technologies. For example, by replacing aging software components with modern and scalable solutions, organizations can reduce expenses related to bug resolution and corrective maintenance.

3. Fostering innovation and competitiveness

Furthermore, software reengineering fosters innovation by enabling organizations to quickly adopt new technologies and respond to market developments in an agile manner. For example, by modernizing user interfaces and integrating innovative features such as artificial intelligence or the Internet of Things (IoT), organizations can offer differentiated user experiences and remain competitive in the market.

In summary, software reengineering offers considerable potential to strengthen the competitiveness, efficiency, and agility of organizations in an ever-evolving technological environment.

Challenges and Strategies of Software Reengineering

While promising in terms of improving existing systems, software reengineering is not without its challenges and complexities. One of the main challenges is change management, as reengineering often involves substantial modifications to software processes, architecture, and operation, which can provoke resistance among teams and stakeholders. Additionally, reengineering may face budgetary and time constraints, especially in organizations where resources are limited and justifying necessary investments is challenging.

To address these challenges, organizations must adopt effective and pragmatic reengineering strategies. This includes establishing strong governance to oversee the reengineering process, clearly defining objectives, priorities, and necessary resources. Moreover, transparent communication and effective stakeholder management are essential to minimize resistance to change and ensure the buy-in of affected teams.

Furthermore, it is crucial to adopt an iterative and incremental approach in the reengineering process, identifying and prioritizing improvements in stages. This helps mitigate the risks associated with reengineering by limiting the impact of changes on ongoing operations and enabling gradual adaptation to new architectures and technologies. Finally, training and developing team skills are essential to ensure the long-term success of software reengineering, facilitating effective adoption of new practices, tools, and technologies. By adopting these strategies and overcoming these challenges, organizations can maximize the benefits of software reengineering and maintain their competitiveness in a digitally evolving environment.

Case Studies and Best Practices in Software Reengineering

Case studies and best practices in software reengineering provide concrete insights into how organizations can successfully modernize their existing systems to meet contemporary challenges and changing business requirements. For example, a case study of a large e-commerce company facing slow loading times and poor user experience revealed that reengineering their software platform by adopting a cloud-based architecture and optimizing database queries significantly reduced loading times and improved user satisfaction.

Similarly, applying best practices such as using agile methodologies, such as Scrum or Kanban, can facilitate effective project management in reengineering projects by enabling close collaboration between development teams and stakeholders, as well as flexibility in managing priorities and changes. Additionally, adopting emerging technologies such as test automation and continuous deployment can accelerate the reengineering process by reducing development lead times and improving code quality.

By analyzing these case studies and leveraging these best practices, organizations can develop effective strategies to successfully carry out their own software reengineering initiatives, maximizing benefits while minimizing risks and potential obstacles. Ultimately, case studies and best practices in software reengineering offer valuable guidance for organizations seeking to modernize their computer systems and maintain their competitiveness in an ever-evolving digital world.

Conclusion

By examining these inspiring case studies and exploring recommended best practices, organizations can gain valuable insights for their own software reengineering projects. For tailored support and solutions to your specific needs, do not hesitate to contact our digital agency, Edana, specialized in software reengineering. With our proven expertise in the field, we are here to help you realize your digital transformation ambitions and ensure the success of your software modernization projects.

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How to Successfully Upgrade Your Obsolete Enterprise Software?

How to Successfully Upgrade Your Obsolete Enterprise Software?

Auteur n°3 – Benjamin

Is your enterprise software system showing signs of aging, causing more problems than it solves? Obsolete software can quickly become a burden for businesses, manifesting as increasing sluggishness, security gaps, and an inability to adapt to modern technologies and your company’s growth. Fortunately, this situation is not a dead end.

In this article, we will explore the essential steps to effectively update obsolete enterprise software, focusing on best practices and strategies to adopt. Our digital agency, Edana, specialized in software engineering, is here to guide you through this process. Leveraging our expertise, we can assist you in assessing the obsolescence of your software, planning the update, selecting the most suitable solutions, managing associated risks, and implementing techniques such as re-factoring or re-engineering to modernize your system.

Assessment of software obsolescence

Before undertaking any update, it is crucial to assess the extent of the software’s obsolescence. This involves identifying obsolete or inefficient features, potential security issues, and gaps compared to new technologies. A thorough analysis will determine whether a simple update is sufficient or if more radical measures like re-factoring or re-engineering are needed.

This assessment can take various forms, including conducting a comprehensive functional analysis to determine if existing features still meet your business’s operational needs. You could also perform security audits to identify potential vulnerabilities and data protection gaps. Furthermore, comparing your software’s features with the latest technological advancements in the industry will help identify gaps and understand how much your system lags behind current standards. Additionally, soliciting user feedback on aspects of the software that pose problems or are out of sync with their needs can provide valuable insights.

By combining these different assessment approaches, you will be able to paint a comprehensive picture of your software’s obsolescence, which will help you make informed decisions on the best update strategy to adopt.

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Update planning: key steps

Meticulous planning of your enterprise software update is a crucial step to ensure business operations continuity and minimize potential interruptions. This phase encompasses various activities, including identifying the resources needed to successfully carry out the update. This may include programming skills, specialized software tools, and adequate hardware resources.

For example, if you are considering a major update requiring specific software development skills, you may need to consider recruiting additional developers or engaging external consultants. Furthermore, establishing a realistic schedule is essential to coordinate the various stages of the update and avoid unexpected delays. You will need to consider time constraints, supplier delivery times, and periods of lower activity in your business to determine the best time to perform the update.

Selection of appropriate update solutions

When it comes to selecting the best solutions to update obsolete software, it is essential to consider a variety of factors to best meet your business’s specific needs. For some software, a simple update to the latest available version may be sufficient to fix minor issues and benefit from new features. For example, if you are using outdated accounting software, regular updates might include bug fixes and minor improvements for better compliance with current tax regulations.

However, in cases where the software is significantly outdated, more radical measures such as re-factoring or re-engineering may be necessary. The choice of the appropriate strategy will depend on a careful assessment of the costs, risks, and potential benefits of each option. By carefully analyzing these factors and consulting relevant stakeholders, you can select the most suitable update solutions to ensure the long-term success of your business.

Re-factoring and re-engineering: modernizing code and architecture

Re-factoring and re-engineering are essential strategies for revitalizing obsolete software. Re-factoring involves restructuring existing code to improve readability, maintainability, and efficiency while preserving its external functionality. Consider a project management software whose source code has become complex over the years. By applying re-factoring techniques such as simplifying data structures or eliminating code duplications, it becomes possible to optimize the software’s performance without introducing new features.

On the other hand, re-engineering involves a complete redesign of the software architecture, using the latest technologies and development practices to meet current and future business needs. Using the example of project management software again: as part of a re-engineering process, the development team might opt to migrate to a cloud-based architecture, providing better scalability, enhanced security, and increased accessibility for remote users. By combining these two approaches, businesses can modernize their obsolete software and position it advantageously to tackle future challenges.

Risk management related to software update

Updating enterprise software is a crucial step, but it is not without potential risks. Among these risks are service interruptions, data losses, or compatibility issues with other systems used within the company. Effective management of these risks is therefore essential to ensure the success of the update.

This first involves proactively identifying possible risks associated with software update. For example, a major risk could be incompatibility between the new version of the software and other software used by the company. Then, it is necessary to implement appropriate mitigation measures to minimize these risks. For example, this could include conducting thorough testing before deploying the new version of the software to ensure its compatibility with other existing systems.

Finally, it is also crucial to prepare business continuity plans to address any unforeseen incidents that may occur during the update. For example, in the event of a service interruption, it is important to have procedures in place to quickly restore critical business operations to limit disruptions. By taking a proactive approach and implementing appropriate measures, companies can minimize the risks associated with updating their enterprise software and ensure that the process runs smoothly.

Conclusion

Updating obsolete enterprise software is a complex but essential process to maintain competitiveness and security in an ever-evolving business environment. By carefully assessing software obsolescence, meticulously planning the update, selecting appropriate solutions, effectively managing risks, and using techniques such as re-factoring and re-engineering, businesses can modernize their computer systems efficiently and effectively.

At Edana, our digital agency specialized in software engineering, we recognize the fundamental importance of each aspect discussed in this article to meet our clients’ needs. Our commitment to customer satisfaction is reflected in our constant willingness to apply these principles to advise, design, and develop innovative software solutions. We strive to provide high-quality services that meet our clients’ specific requirements, using proven methods such as re-factoring and re-engineering to modernize their enterprise software.

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How to Digitize Your Business in Switzerland? Step-by-Step Guide

How to Digitize Your Business in Switzerland? Step-by-Step Guide

Auteur n°3 – Benjamin

Digitalization, much more than just modernization, represents a significant opportunity for Swiss businesses, whether they are SMEs, as emphasized by the Swiss Confederation, or large corporations. In this article, we will review the advantages it provides to those who implement it and detail the steps to fully take advantage of this transition, without falling into its most common pitfalls that hinder innovation, leading to significant losses to competitors who have undertaken their digitization the right way.

Swiss Context and the Importance of Digitization

Switzerland, with its robust economy and booming technological sector, stands at the dawn of a digital revolution. A recent study conducted by Deloitte revealed that over 70% of Swiss companies have integrated digital strategies into their long-term planning, demonstrating the increasing relevance of digitization in the country’s economic fabric. From industry giants to innovative startups, digital transformation has shown its potential to propel businesses to new heights.

Advantages of Digitization for Businesses

By embracing digitization, Swiss businesses can benefit from increased agility, medium to long-term reduction in operational costs, and better understanding of their data for more informed strategic decision-making.

Digitization also often translates to workplace well-being, increased quality and quantity of output, and talent retention. Digital transformation also offers the opportunity to remain competitive in a constantly evolving commercial landscape, paving the way for sustained growth and a leadership position in the market.

By investing in digitization, your business can not only keep pace but also anticipate and shape the future with confidence.

Challenges of Digital Transformation

The transition to digitization in Switzerland involves specific challenges, particularly in regulatory, data security, and organizational change management areas.

Swiss Regulations: Compliance with local laws, such as the Federal Data Protection Act, is crucial. Companies must adopt compliance management systems and seek regular legal advice to navigate this complex environment.

Cybersecurity: Faced with increasing cyberattacks, enhancing data security becomes imperative. Companies must consider data encryption, regular security audits, and employee training in cybersecurity best practices.

Change Resistance: Digital transformation may encounter internal resistance. To overcome this, it is recommended to conduct internal communication campaigns, involve employees in decisions, and designate change ambassadors to guide and reassure teams.

By addressing these areas proactively, Swiss companies can fully leverage the opportunities offered by digitization while minimizing risks and obstacles.

Now let’s look at the steps to digitize your SME or large company, as well as some concrete examples of companies that our team has supported in their digital transformation in Switzerland.

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Steps to Digitize Your SME or Large Swiss Corporation

To initiate a digital transition process and seize the opportunities that the digital realm offers to a business, several steps must be taken. The Swiss Confederation briefly outlines some of these steps on this page. We will delve further into them below:

1. Needs Assessment

By carefully scrutinizing repetitive tasks to automate, you concretely free up time for your teams, allowing them to focus on more value-added missions. Digitalization thus becomes the lever that accelerates data management, reducing input errors and optimizing workflow. By automating, for example, the invoicing process, you eliminate the risks of human errors, ensuring maximum accuracy and overall increased productivity.

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2. Strategic Planning

A rigorously defined digital strategy functions as a compass, concretely guiding technology toward achieving your business objectives. Imagine, for example, a targeted improvement in internal communication, introducing collaborative tools. This goes beyond mere modernization as it transforms your way of working. Optimized internal communication channels stimulate collaboration within your team, enhancing efficiency and creativity. This approach can also translate into more proactive external communication, leading to closer collaborations with customers and partners, thereby strengthening your market positioning. In short, a well-thought-out digital strategy becomes the concrete engine that propels your business to success. Once your objectives and their solutions are well established, it will be essential to prioritize properly to arrive at a clear and intelligent digitization roadmap.

3. Custom Application, Website, and Software Development

Custom solutions offer a user experience and functionality without any limits. Going far beyond off-the-shelf software and solutions, fully custom-built enterprise applications are powerful and provide considerable added value. Consider the creation of a custom automated billing system. Every step of the user interface (UI) development is meticulously crafted to ensure an intuitive and seamless user experience (UX). Visual elements are carefully selected to reflect simplicity and remain in line with the company’s identity, offering smooth and enjoyable navigation. The coding process supporting this is also precisely tailored, ensuring optimal performance of the functionalities and processes thus digitized. Thus, every line of code contributes to an exceptional user experience, making your automated billing system not only functional but also enjoyable to use. All of this takes time, and typically, it takes between 3 and 12 months to arrive at a finished product, sometimes more. The result is often a game-changer for a business.

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4. Implementation and Training

Transparent implementation and tailored training are the pillars of smooth adoption, particularly crucial in the field of software and mobile application development. When considering the implementation of a new custom CRM, for example, every element of the interface is seamlessly integrated, ensuring a consistent user experience (UX). The accompanying training goes beyond basic tool usage to encompass a thorough understanding of the system, thus optimizing its potential. This transcends mere coding to create a synergy between functionality and usability. Quickly, this custom CRM becomes an indispensable tool, boosting the efficiency of sales teams and redefining customer relationship management. From the design phase to production deployment through coding, implementation, and internal team training must be consistent, clear, and transparent to ensure maximum solution adoption rates.

5. Scalability and Ongoing Support: :

The sustainability of digital solutions lies in a rigorous development approach that goes beyond mere coding. Consider a custom-built platform designed for scalability: every component is meticulously structured to allow easy integration of new functionalities in the future. This scalability is not simply a matter of programming but rather the creation of a flexible architecture capable of adapting to changes. Thus, your platform can easily evolve to incorporate new strategic features in the future, supporting the continued growth of your business. Ongoing support then comes in to ensure a seamless transition, facilitating the smooth adoption of these innovations. This is how technical development translates into operational agility without sacrificing stability.

Examples of digitalizations of Swiss companies carried out by our experts

As specialists in digital transition, we have accompanied several clients in their transformation. Here are two examples, which are two case studies:

For the Filinea project, our team developed a custom web application to optimize the management of wastewater treatment processes. This innovative solution allows for effective monitoring and control, contributing to better environmental management.

In the case of Gottofrey Electricité, we created a customized business application to digitize and streamline operational processes. This application improves productivity and efficiency by automating tasks and facilitating project and resource management.


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The importance of preparing for future innovations

The digital age is evolving rapidly, driven by significant advancements in artificial intelligence (AI) and cloud computing. AI is transforming Swiss companies’ operations, improving efficiency and providing unprecedented insights through advanced data analysis. Meanwhile, cloud computing democratizes access to powerful computing resources, enabling businesses of all sizes to adapt quickly and cost-effectively. These technologies pave the way for new opportunities for growth and innovation but also require constant adaptation and a commitment to ongoing training and cybersecurity to protect vital digital assets. Swiss companies embracing these changes position themselves for success in an increasingly competitive and globalized market.

To embrace these technological changes, companies must adopt a culture of open innovation, invest in training and developing their employees’ skills, and implement robust data security strategies. It is also crucial to establish strategic partnerships with technology providers and research institutions to remain at the forefront of innovation.

Get support from our experts

To navigate successfully through your digitization journey and fully leverage your potential, get support from our experts. Our team, specializing in tailored digital solutions, guides you through every step, from strategy to execution, to turn your challenges into opportunities.

At Edana, our commitment focuses on building long-term partnerships because we understand that mutual success relies on close and enduring collaboration. Our goal is to provide you with solutions that truly catalyze your growth by closely accompanying you to identify and implement the most suitable digital strategies for your specific needs.

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