OpenEdge Apps

Signs Your OpenEdge Applications Urgently Need Modernization

Applications built with Progress OpenEdge have proven for decades to be a solid, stable, and reliable platform for supporting critical business processes. Many organizations continue to rely on them because they still fulfill their primary purpose with a high level of performance.

However, the fact that an application is still working does not mean it is prepared to meet the current needs of users, customers, and businesses. Technology evolves, expectations change, and keeping an application unmodernized can become an obstacle to productivity, innovation, and even competitiveness.

How do you know when it’s time to modernize your OpenEdge applications? Here are some of the most common warning signs.

1. The User Interface Looks Outdated

This is not just about whether the application looks old or modern. The user interface has a direct impact on how users interact with the application. If your application still relies on a traditional desktop interface with an unintuitive user experience, users are likely spending more time than necessary completing everyday tasks.

Modern interfaces provide:

  • Cleaner, more organized layouts.
  • More intuitive forms.
  • A better navigation experience.
  • Adaptability to different screen sizes.
  • Greater productivity for end users.

A modern interface not only improves the company’s image but also shortens the learning curve and makes daily work easier.

2. It Can Only Be Used from an Office Computer

Relying on applications that are restricted to a single computer limits a company’s competitiveness, especially in a world where hybrid work and mobility have become the norm.

If users need to install specific software or can only access the application from a particular computer, this represents a significant limitation.

Modern applications can be accessed through a web browser without requiring local installations, making them available from multiple devices and locations.

3. Every Change Takes Too Long

Does adding a new field require modifying multiple screens? Does a minor enhancement take weeks of development and testing?

When maintenance becomes slow and complex, the application begins to accumulate significant technical debt.

Modernization introduces visual development tools and more agile development processes that significantly reduce the time required to implement new features.

4. Users Constantly Request Improvements That Are Difficult to Implement

Often, the issue is not the business logic but the technology on which the user interface is built.

It’s common to hear requests such as:

  • “We need a more intuitive screen.”
  • “We want to display more information in a single view.”
  • “It would be useful to move and resize windows.”
  • “We’d like to incorporate charts or more modern UI components.”

If responding to these requests is overly complex, your user interface architecture probably needs to evolve.

5. The Application Makes Onboarding New Employees Difficult

Applications with unintuitive interfaces often require lengthy training sessions.

When new users need several days or even weeks to become familiar with the system, there is a hidden productivity cost.

A modern user experience shortens the learning process and reduces the need for continuous training.

6. Integrating New Technologies Is Complicated

Businesses increasingly need to integrate:

  • Artificial intelligence.
  • Web services.
  • APIs.
  • Cloud platforms.
  • New data sources.

If every integration becomes a complex, expensive, or difficult-to-maintain project, modernization can dramatically simplify the process.

7. Your Team Spends More Time Maintaining Than Innovating

One of the clearest signs that an application needs modernization is when the development team spends most of its time:

  • Fixing issues.
  • Updating outdated screens.
  • Resolving compatibility problems.
  • Maintaining legacy code.

This reduces the team’s ability to develop new features that create business value.

Modernization does not mean replacing the entire system; it means freeing up time to innovate.

8. There Is Fear of Making Changes

When every modification creates uncertainty because it could affect the rest of the application, technological progress slows down.

Organizations end up postponing improvements out of fear of introducing errors, increasing technical debt, and making future changes even more difficult.

A modern platform enables faster, safer, and more controlled changes.

Modernization Doesn’t Mean Starting from Scratch

One of the biggest myths about OpenEdge application modernization is that it requires rebuilding the entire solution.

Today, there are approaches that allow you to preserve years of business logic while modernizing the user experience and the development environment.

This approach reduces risk, protects your existing investment, and accelerates digital transformation.

Edgevolut: Visual Modernization for OpenEdge Applications

Edgevolut was designed to simplify the modernization of OpenEdge applications without requiring a complete rewrite.

Its visual designer enables developers to build modern web interfaces using a drag-and-drop approach while reusing existing ABL business logic. It also includes new capabilities that improve developer productivity, such as a more flexible designer, a debugger with event and property inspectors, new controls and components, and a much more agile development experience.

The result is a gradual transition to modern applications while preserving the stability of the existing system and reducing the effort required to evolve the solution.

Contact us to start your OpenEdge application modernization journey.

Modernization Is the Key to Unlocking the Full Potential of Your OpenEdge Applications

OpenEdge applications continue to provide a solid foundation for many organizations. However, today’s business needs demand more modern interfaces, greater flexibility, and more efficient development processes.

If your application shows several of the warning signs described in this article, it is probably time to consider a modernization strategy.

The good news is that today you can evolve without starting from scratch, leveraging years of accumulated knowledge and investment while delivering a significantly more modern experience for both users and developers.

    Edgevolut nueva version

    Edgevolut continues to Evolve: New Version Available

    Edgevolut V.4 arrives with enhanced productivity, greater flexibility, and new capabilities for developing OpenEdge applications. All of this is aligned with the goal of enabling faster creation of advanced user interfaces without increasing development complexity.

    Here are four key areas where Edgevolut V.4 makes a difference.

    1. Greater Productivity for Development Teams

    The new version introduces a debugger with an event and property inspector, providing a more comprehensive view of application behavior during runtime. This enables developers to identify and resolve issues more quickly, reducing development and maintenance time.

    In addition, Edgevolut V.4 expands customization options by introducing new control properties, making it easier to build components tailored to the specific needs of each project.

    2. More Flexible Interfaces and an Improved User Experience

    A great application should not only be functional; it should also provide an intuitive and comfortable user experience.

    That’s why this release introduces enhancements that give developers greater freedom when designing user interfaces.

    The visual designer now supports overlapping controls, making it easier to create richer, more dynamic layouts. Modal windows have also been enhanced: they can now be freely moved across the screen, maximized when users need additional workspace, or kept fixed depending on the application’s requirements.

    These improvements make it possible to build more modern and adaptable interfaces while maintaining development simplicity.

    3. New Capabilities for Building More Powerful Applications

    This release introduces three new controls that significantly expand development possibilities.

    The new BI4Web control enables developers to embed dashboards created in BI4Web directly into their applications, making it easy to incorporate analytical dashboards and business insights without additional development.

    The Signature control adds support for capturing digital signatures using either a mouse or touch-enabled devices, making it especially valuable for validation, approval, and document confirmation workflows.

    Meanwhile, Masked Input simplifies data entry through configurable input masks, helping ensure more consistent information and reducing errors in fields that require specific formats.

    In addition, input fields can now dynamically change their type at runtime, providing greater flexibility to adapt to the application’s context and user interactions.

    4. Edgevolut V.4: Built for Increasingly Demanding Business Environments

    The new version also enhances temporary data management, allowing applications to retain a larger amount of reusable information throughout the user’s session.

    This capability is particularly valuable for enterprise applications that need to preserve data across processes, even when browsers impose limitations on temporary storage.

    The result is more robust applications that deliver a smoother and more efficient user experience.

    Continuous Innovation to Drive Business Application Development

    Every new Edgevolut release reflects the same commitment: delivering a platform that evolves alongside the needs of modern organizations.

    With these new capabilities, development teams have more tools to build web applications faster, integrate new functionality more easily, and provide a richer user experience.

    Because developing enterprise applications is about more than writing code; it’s about building solutions that are ready to grow with your business. And Edgevolut continues to evolve to make that possible.

    Try Edgevolut

    Start your OpenEdge application modernization journey with Edgevolut. Contact us today to schedule a free demo.

      Datagate version 3

      DataGate Version 3 Is Now Available

      Modern data management requires platforms capable of adapting to increasingly complex environments, integrating multiple information sources, automating processes, and providing secure and efficient access to data.

      That is why we are pleased to announce that DataGate Version 3 is now available, a major update that introduces significant new capabilities to help organizations manage, transform, and distribute their data with greater flexibility than ever before.

      A Truly Open Scripting Environment

      One of the key innovations in DataGate V3 is the expansion of its scripting capabilities. Starting with this release, users can develop processes using:

      • C#
        • Visual Basic
        • Python
        • Lua
        • SQL

                Most importantly, all languages provide the same functional scope within the platform, allowing teams to work with the technologies they know best without sacrificing any capabilities.

                This approach removes adoption barriers, simplifies integration with existing organizational expertise, and reduces dependency on a single programming language or technical profile.

                Integrated Data Virtualization

                DataGate V3 introduces data virtualization capabilities, enabling organizations to access and combine information from multiple systems without the need for physical data replication.

                With this functionality, organizations can:

                • Reduce data duplication.
                  • Access distributed information through a single logical layer.
                  • Accelerate integration projects.
                  • Keep data up to date in real time.
                  • Simplify complex data architectures.

                          Data virtualization becomes an efficient alternative for scenarios where fast access to information and reduced storage costs are critical factors.

                          Your Trusted Data Hub for Centralized Data Management

                          DataGate Version 3 further strengthens its position as a trusted data hub, providing organizations with a central point for data access, exchange, and governance.

                          With DataGate, organizations can:

                          • Centralize data assets from multiple sources.
                          • Facilitate information sharing between departments and applications.
                          • Improve data governance and control.
                          • Accelerate analytics, reporting, and artificial intelligence initiatives.
                          • Build a solid foundation for scalable data strategies.

                            These capabilities make DataGate an even more comprehensive platform for organizations seeking to build modern data ecosystems that are ready for future growth.

                            Greater Flexibility for Projects of Any Scale

                            DataGate has been designed to simplify data management in complex enterprise environments. With Version 3, the platform significantly expands its capabilities to address data integration, transformation, virtualization, and distribution requirements from a single environment.

                            As part of this release, we have reached the milestone of supporting more than 200 connectors, enabling truly comprehensive data integration. Among them, we highlight the COBOL ISAM connector, which allows seamless integration with legacy environments.

                            The combination of data virtualization and data hub capabilities enables organizations to reduce technical complexity, accelerate project delivery, and maximize the value of their information assets.

                            Available Today

                            DataGate Version 3 is now available for RCM Software customers and partners.

                            If you would like to learn more about the new features, request a demonstration, or evaluate how DataGate can fit into your data strategy, contact our team and discover everything this new version can bring to your organization.

                            DataGate Version 3 represents another step forward in our vision of delivering a flexible, scalable data management platform designed to meet today’s challenges in integration, analytics, and artificial intelligence.

                              BI4Web V 26

                              BI4Web V.26 Is Here: Discover What’s New

                              On May 6th, BI4Web V.26 was launched. This is the latest update of our business intelligence (BI) platform, designed to improve data visualization, advanced analytics, and connectivity with multiple information sources.

                              This new version incorporates key features that reinforce its position as a robust solution for data analytics and corporate dashboards.

                              New Connector and New Controls for Advanced Data Visualization

                              BI4Web continues to evolve as a data visualization tool, incorporating new components that improve connectivity and allow information to be represented more clearly and intuitively:

                              Direct Connect: Secure Connectivity with Data Sources Its main advantages include:

                              Connection without opening ports Creation of a secure tunnel Easier implementation in corporate environments. This makes BI4Web an even more competitive option within the ecosystem of BI tools and data platforms.

                              Graph Control

                              The new graph control allows you to visualize complex relationships between elements, making it ideal for use cases such as:

                              • Network analysis
                              • Dependency models
                              • Hierarchical structures

                              This control supports both directed and undirected graphs, expanding your analytical capabilities.

                              Calendar Control for Time-Based Analysis

                              The new calendar control facilitates data analysis based on time, allowing you to visualize information by:

                              • Hour
                              • Day
                              • Week
                              • Month

                              A key functionality for time series analysis projects and activity tracking.

                              General Control Improvements

                              Additionally, a complete optimization of the control catalog has been carried out, improving performance and user experience across dashboards.

                              Note: Version 26 introduces Direct Connect, a new connector that redefines how data is accessed within a business intelligence platform.

                              Enhanced Gantt Control for Project Management

                              The Gantt control incorporates new features that improve visualization in planning projects:

                              • Adjustable sidebar list size
                              • Ability to hide fields
                              • Precise size configuration for each column

                              These improvements allow for the creation of dashboards that are better tailored to specific needs in project management and operational tracking.

                              More Powerful Pivot Grid: Multidimensional Analysis

                              The Pivot Grid evolves to offer a more comprehensive analysis of data:

                              • New filtering by dimensions Compatibility with filtering by metrics (already existing)
                              • This allows for deeper analysis within business intelligence and advanced reporting environments.

                              Customizable Login Screen

                              The user experience also improves at the access layer:

                              • Ability to position the login form on the left, center, or right.
                              • A feature that brings flexibility to the customization of BI applications.

                              BI4Web Version 26: A More Powerful, Secure, and Flexible BI Platform

                              With this new version, BI4Web consolidates itself as a complete solution for:

                              • Business intelligence software
                              • Data visualization tools
                              • Corporate data analysis
                              • Interactive dashboard creation
                              • Upgrade Your Business Intelligence Platform

                              Take the next step in your data strategy with BI4Web V.26.

                              Contact your distributor or write to us at rcm@rcm.es for more information on how to upgrade your digital environment and take full advantage of all the new features.

                                App Modernization

                                What is app modernization and why is it critical today?

                                In an increasingly competitive and digitized business environment, applications that were once at the heart of operations can quickly become a barrier to innovation. Many organizations still rely on legacy systems that, while functional, no longer meet current market demands. This is where application modernization comes in.

                                What is application modernization? 

                                Application modernization is the process of upgrading, transforming, or restructuring existing systems to align them with current technologies, architectures, and business needs. It’s not just about changing the interface or migrating to the cloud; it means rethinking how apps add value, integrate with other systems, and scale over time.

                                This process can include different strategies, such as:

                                • Rehosting (lift & shift): Migrate the application to a new infrastructure without modifying its architecture.
                                • Refactoring: Optimize existing code to improve its performance or maintainability.
                                • Replatforming: Adapt the application to new technological platforms.
                                • Rebuilding or replacing: Completely redesign the application or replace it with a new one.

                                Each approach has its place, but the key is to choose the right one based on business goals and the current state of the application.

                                Why is it critical today?

                                1. Evolving digital expectations

                                Users expect fast, intuitive, and accessible experiences from any device. Legacy applications, especially those developed in environments such as Progress OpenEdge, often lack modern interfaces and advanced web capabilities.

                                2. Limitations in scalability and integration

                                Traditional architectures make integration with APIs, cloud services or advanced analytics solutions difficult. This limits companies’ ability to innovate and seize new opportunities.

                                3. Rising maintenance costs

                                Maintaining old systems is often more expensive than modernizing them. The shortage of specialized talent and the complexity of legacy code increase operational risks.

                                4. Need for business agility

                                Organizations need to adapt quickly to market changes. Modern applications allow for shorter development cycles, continuous deployments, and greater responsiveness.

                                The OpenEdge-specific challenge

                                Many companies using Progress OpenEdge have built robust and critical solutions for their operation. However, modernizing them presents particular challenges:

                                • Outdated user interfaces
                                • Difficulties in exposing web services
                                • Reliance on traditional development environments
                                • Limited experience in modern frontend technologies

                                This is where modernization does not necessarily imply a total break, but rather an intelligent evolution that preserves the existing business logic.

                                Edgevolut: a new way to modernize OpenEdge

                                At RCM Software, we understand that modernization should not be a traumatic or costly process. That’s why we developed Edgevolut, a framework specifically designed to transform OpenEdge applications into modern web experiences without having to completely rewrite the backend.

                                With Edgevolut, organizations can:

                                • Build modern web interfaces on existing applications
                                • Significantly reduce development times
                                • Maintain business logic in OpenEdge
                                • Improve user experience without compromising stability
                                • Facilitate integration with other technologies

                                Modernizing is not optional; it’s strategic

                                Application modernization is no longer an isolated technical initiative; it is a strategic decision that directly impacts the company’s competitiveness. Organizations that don’t evolve risk falling behind more agile and digital competitors.

                                The good news is that there are now tools and approaches to do so in a progressive, controlled way with a clear return on investment.

                                At RCM Software, we accompany companies on this path, combining expertise in data, technology, and business. With solutions like Edgevolut, modernization is no longer a complex problem but an opportunity for growth.

                                Is your organization ready to take the next step?

                                  Business Intelligence In My Company 2026

                                  My Company Needs Business Intelligence: What Are the Options in 2026?

                                  If you’ve made it this far, you probably already know one thing: your company needs to work better with data.

                                  Maybe your information is scattered across Excel files, different systems that don’t communicate with each other, or dashboards that still fail to answer the business’s key questions. Or perhaps you already have a BI tool, but you feel like it no longer meets your needs.

                                  In 2026, this is more common than it seems.

                                  The good news is that there are many options available.
                                  The bad news: choosing the wrong one can cost you time, money, and frustration.

                                  The problem isn’t having data — it’s not using it properly

                                  Today, every company constantly generates data: sales, customers, operations, marketing, support…

                                  But without a clear Business Intelligence strategy, that data becomes noise instead of a valuable resource for decision-making.

                                  A good BI system should help you:

                                  • Understand what’s happening in your business (and why)
                                  • Detect opportunities before your competitors do
                                  • Make faster decisions with less uncertainty
                                  • Reduce manual work and human error

                                  So… what options do you have in 2026?

                                  The BI ecosystem has evolved significantly in recent years. It’s no longer just about building attractive dashboards.

                                  These are the main alternatives companies are using today:

                                  1. Traditional BI tools (self-service)

                                  These are the most well-known solutions and, for many companies, the gateway into the BI world.

                                  They allow users to create dashboards relatively easily and explore data without depending entirely on technical teams.

                                  When do they work well?

                                  When you’re just getting started and need quick results. When the company has proper data governance practices in place to ensure data quality.

                                  When business objectives are clearly defined.

                                  Where do problems begin?

                                  As data volume and complexity grow:

                                  • Dashboards become slow
                                  • Inconsistencies start appearing
                                  • You need additional tools around them (ETL, data warehouse, etc.)

                                  In other words, they work… until scalability becomes a problem.

                                  2. BI within cloud platforms

                                  Many cloud providers have integrated BI solutions into their ecosystems.

                                  Here, we’re talking about something more powerful: storage, processing, and visualization all within the same environment.

                                  Clear advantages:

                                  • Virtually unlimited scalability
                                  • Integration with artificial intelligence
                                  • Strong security and governance capabilities

                                  But it’s not perfect:

                                  • Costs can grow quickly
                                  • Organizations become dependent on a specific vendor
                                  • Greater technical maturity is required

                                  These solutions are often a good fit for companies with established data teams.

                                  3. Open-source solutions

                                  Another increasingly popular alternative is building your own BI stack using open-source tools.

                                  This gives you enormous flexibility, but it also demands greater responsibility and technical resources.

                                  The best part:

                                  • Full control over the architecture
                                  • Lower initial costs
                                  • High customization capabilities

                                  The challenging part:

                                  • You need a strong technical team
                                  • Maintenance is continuous
                                  • Integrating everything can become complex

                                  It’s not for everyone, but it can be extremely powerful if you have the right resources.

                                  4. Unified data and BI platforms

                                  This is where the biggest shift is happening in 2026.

                                  More and more companies are moving away from fragmented environments (multiple tools, pipelines, integrations…) and adopting platforms that integrate everything into one place.

                                  And it makes sense.

                                  Why manage five different tools when one platform can do it all?

                                  This is where BI4Web comes in

                                  In this new paradigm, solutions like BI4Web are gaining traction.

                                  Why? Because they address one of today’s biggest challenges: complexity.

                                  Instead of forcing companies to build and maintain an ecosystem of separate tools, BI4Web allows you to:

                                  • Integrate multiple data sources (SQL and non-SQL)
                                  • Work with large volumes of data without losing performance (Big Data)
                                  • Reduce technical dependencies through low-code capabilities
                                  • Create dashboards and analytics within the same environment
                                  • Maintain data control and governance

                                  It’s a different approach.

                                  It’s not just about visualizing data — it’s about managing the entire data lifecycle from a single platform.

                                  How do you know which option is best for you?

                                  Before choosing a tool, there’s a more important question you should ask:

                                  What does your company actually need?

                                  Some key points to consider:

                                  • How much data do you manage?
                                  • How many different data sources do you have?
                                  • Do you have a technical team?
                                  • Do you need to scale in the short term?
                                  • How much are you willing to invest (not only in licenses, but also in maintenance)?

                                  Many companies make the mistake of choosing the most popular tool instead of the most suitable one.

                                  The trend is clear

                                  Business Intelligence is no longer just an additional layer — it’s becoming the core of business operations.

                                  And in that context, the solutions that simplify, integrate, and scale are the ones making the difference.

                                  Conclusion

                                  If your company is evaluating Business Intelligence solutions in 2026, you have more options than ever before.

                                  But also more complexity.

                                  You can choose traditional tools, cloud ecosystems, open-source solutions… or take the leap toward unified platforms like BI4Web.

                                  The key isn’t the tool itself, but what it enables you to do.

                                  Because in the end, it’s not about having dashboards.

                                  It’s about making better decisions.

                                  And making them before everyone else.

                                  Contact us and request your free BI4Web demo.

                                    Complete guide OpenEdge Apps Modernization

                                    Complete Guide to OpenEdge Application Modernization (2026)

                                    In 2026, application modernization is no longer optional; it’s a competitive requirement. Companies still operating on legacy systems face increasing pressure in scalability, user experience, integration, and advanced analytics.

                                    In this context, platforms like Progress OpenEdge still serve as the foundation for many organizations. The challenge is to evolve them strategically rather than replace them.

                                    This guide provides a practical and up-to-date approach to modernizing OpenEdge applications, aligned with current technology trends and real business needs.

                                    1. What does modernizing OpenEdge mean in 2026?

                                    Modernizing OpenEdge applications does not mean fully migrating to another technology. In fact, in most cases, that decision is costly, risky, and unnecessary.

                                    Today, modernizing OpenEdge means:

                                    • Extending capabilities without replacing the core
                                    • Decoupling frontend and backend
                                    • Enabling integration with modern ecosystems
                                    • Incorporating analytics and automation
                                    • Improving user experience (UX)

                                    The goal is clear: turn a robust system into an agile, future-ready platform.

                                    2. Key challenges of OpenEdge applications

                                    Before defining a strategy, it’s essential to understand the most common issues:

                                    Monolithic architectures
                                    Many applications were designed as single blocks, making rapid changes and scalability difficult.

                                    Outdated interfaces
                                    Limited user experiences that don’t meet current standards.

                                    Limited integration
                                    Difficulty connecting with modern APIs, cloud services, or BI tools.

                                    Lack of data visibility
                                    Rich operational data that is underutilized for advanced analytics.

                                    3. The 4 pillars of modernization

                                    An effective strategy is built on four fundamental pillars:

                                    1. Architecture decoupling

                                    Separating the backend (OpenEdge logic) from the frontend allows you to:

                                    • Evolve interfaces without touching the core.
                                    • Scale components independently
                                    • Simplify integrations

                                    Recommended approach: REST APIs on OpenEdge or a framework like Edgevolut to connect backend and frontend without relying on countless APIs.

                                    2. Frontend modernization

                                    User experience is one of the most visible impacts.

                                    Common options:

                                    • Application development frameworks (React, Angular, Vue, Edgevolut)
                                    • Responsive interfaces (adapted to different devices)
                                    • Interactive dashboards

                                    The goal: move from functional interfaces to intuitive, user-centered experiences.

                                    3. Integration and ecosystem

                                    OpenEdge should become a node within a broader ecosystem:

                                    • Integration between CRMs, ERPs, and cloud platforms
                                    • API consumption and exposure
                                    • Process automation

                                    This helps break silos and improve operational efficiency.

                                    4. Data activation

                                    One of the most undervalued assets in OpenEdge is data.

                                    Modernization involves:

                                    • Enabling data pipelines
                                    • Integrating Business Intelligence tools
                                    • Incorporating predictive analytics

                                    This is where platforms like Edgevolut play a key role.

                                    4. Modernization strategies (low risk)

                                    Not all companies can afford a radical transformation. That’s why progressive approaches dominate in 2026:

                                    “Strangler Pattern” strategy
                                    Modernize parts of the system gradually, replacing legacy modules without disrupting operations.

                                    API-first approach
                                    Build a service layer on top of OpenEdge before changing interfaces.

                                    Layered modernization

                                    1. Data
                                    2. Integration
                                    3. Frontend

                                    This approach reduces risk and delivers early results.

                                    5. The role of artificial intelligence

                                    AI is transforming modernization:

                                    • Automatic code generation
                                    • Query optimization
                                    • Bottleneck detection
                                    • Developer assistants

                                    Organizations that integrate AI into their strategy significantly accelerate their transformation processes.

                                    6. Tangible business benefits

                                    Modernizing OpenEdge applications is not just a technical decision. It directly impacts:

                                    • Time-to-market: faster release of new features
                                    • Productivity: more efficient teams
                                    • Customer experience: modern, seamless interfaces
                                    • Decision-making: access to real-time data
                                    • Scalability: readiness for future growth

                                    7. The Edgevolut approach

                                    From Edgevolut’s perspective, modernization should not be:

                                    • Overly disruptive
                                    • Limited to superficial changes

                                    It must be strategic, progressive, and value-driven.

                                    This involves:

                                    • Maximizing existing OpenEdge developments
                                    • Adding modern layers without friction with legacy systems
                                    • Activating data as a competitive advantage
                                    • Defining OpenEdge integrations and AI within new processes

                                    The ultimate goal is not just modernization, but the evolution of the system into a platform for continuous innovation.

                                    Conclusion

                                    OpenEdge applications remain a critical asset for many organizations. The key in 2026 is not to replace them, but to transform them intelligently.

                                    Companies that adopt a progressive modernization strategy, supported by integration, data, and AI, will not only protect their technological investment but turn it into a real competitive advantage. If you’d like to learn how Edgevolut can help modernize your OpenEdge applications, contact us to schedule a free demo.

                                      Business Intelligence Projects

                                      Why Do Many Business Intelligence Projects Fail?

                                      The implementation of business intelligence solutions continues to gain ground globally. As a result, ensuring the success of business intelligence projects is becoming increasingly important.

                                      If you are considering starting to use BI in your company or expanding its use to other areas of the organization, here are some valuable recommendations to help you avoid common mistakes.

                                      Defining Dashboards Before Defining Business Needs

                                      Generally, BI solutions offer different options for visualizing data. The idea of starting by selecting charts can therefore be very appealing—but that does not mean it should be the first step.

                                      To follow the right path, it is essential to keep in mind that the core purpose of a BI solution is to improve business decision-making. With this in mind, it is important to ask key questions such as:

                                      • What are the company’s objectives?
                                      • What data do you need to visualize to monitor those objectives?

                                      With these two simple questions, you will have a strong starting point to begin defining or redefining your data strategy based on business needs.

                                      Once this point is clear, building dashboards becomes much more strategic and will start delivering value to users from the very beginning.

                                      Assuming BI Will Solve Data Governance Problems

                                      A data governance strategy should be in place before any use of data, including the use of business intelligence solutions.

                                      Implementing BI without a defined governance strategy only exposes poor data quality, a lack of data availability, or even the absence of data. As a direct consequence, users often return to their previous ways of accessing data, such as spreadsheets.

                                      This directly impacts users’ trust in the tool. They will not say that the data is incorrect at the source—they will say that the BI system does not work. This affects the adoption of the solution, which is a key factor in ensuring the long-term success of any technological implementation.

                                      Another important point is that a lack of clarity makes it difficult to define consistent KPIs. A simple example is when different departments include or exclude VAT in the total calculation of sales. With proper governance, this would not happen, and the organization would work with consistent and standardized data.

                                      Implementing Without Considering Scalability Needs

                                      Implementing BI without anticipating growth is the perfect recipe for a system that cannot scale. From the beginning, organizations should adopt a modern data architecture that ensures speed and service availability as the system grows. This also allows costs to be managed in a more strategic and efficient way.

                                      In practical terms, this means avoiding manual scripts, isolated integrations, and disconnected tools.

                                      Forgetting the Alignment Between IT and the Business

                                      This often happens when only one side is responsible for implementation and overlooks the role of the other. As a result, if IT works in isolation from the business, the implementation may be technically efficient but will have important functional gaps. On the other hand, if the business leads the process without IT involvement, technical limitations may be ignored, and unrealistic expectations may arise.

                                      To improve alignment and achieve the best results, it is important to work with mixed teams, define clear responsibilities, and maintain shared data governance.

                                      Underestimating Cultural Change

                                      Organizational culture is a key factor that is often overlooked when implementing a major change such as BI.

                                      A strong technological implementation without a transformation in organizational culture only goes halfway. This often shows up in situations such as:

                                      • Leaders do not use dashboards and continue making decisions based on intuition.
                                      • Leaders do not request data during team meetings.
                                      • Employees do not use BI because they lack the necessary data analysis training.

                                      To address this, organizations should take actions such as:

                                      • Measuring adoption within the company
                                      • Promoting data-driven leadership practices
                                      • Training users

                                      What Can You Do to Ensure Your Next BI Projects Don’t Fail?

                                      After reviewing these points, it becomes clear that maintaining the right approach from the start is essential. The goal is not simply to create dashboards, but to transform how the organization makes decisions.

                                      For this reason, it is important to complete the strategic groundwork described above before selecting a business intelligence solution, not the other way around.

                                      If you are considering starting to use BI in your company, contact us so we can support you from the beginning and help ensure a successful implementation.

                                        Digital transformation

                                        Enterprise digital transformation: key strategies to be strong by 2026

                                        The business calendar doesn’t stop, and the start of 2026 is closer than it seems. In this context, technology has evolved from a support function and has become a strategic pillar of the business. What five years ago represented a competitive advantage is now simply the starting point.

                                        Even so, digital transformation is still perceived in many organizations as a vague or overly ambitious investment. The reality is that, when approached with a clear and pragmatic vision, its impact is reflected directly in operational efficiency and the bottom line. Preparing a company for the future does not require adopting futuristic technologies overnight, but identifying and eliminating the inefficiencies that slow growth on a daily basis.

                                        Below, we propose a diagnostic exercise based on common situations that act as indicators of digital maturity. A starting point to identify where the real opportunities for improvement lie within your organization today.

                                        Digital health indicators: where does your company stand?

                                        1. Systems integration and a single source of truth

                                        In many companies, departments such as sales, logistics, or administration work with applications that are not connected to each other. The result is silos that require data to be manually transferred from one system to another.

                                        The risk: duplicated tasks and human error. When teams spend time copying and pasting information between spreadsheets, ERP systems, or CRMs, productivity suffers. An infrastructure ready for 2026 is based on interoperability: systems that communicate automatically and ensure a single, consistent, and reliable dataset for the entire organization.

                                        2. Mobility and remote operations

                                        A key question: could your critical operations continue at 100% if physical access to the office were interrupted tomorrow? Dependence on on-premise servers, network drives, or paper documentation severely limits an organization’s ability to respond to unforeseen events.

                                        The goal: decouple productivity from location. True digitalization makes it possible to approve budgets, manage inventory, or access records securely from anywhere. If a company needs to be physically present to operate, its model is fragile in the face of unexpected scenarios.

                                        3. User experience as a competitive advantage

                                        Customer expectations—both in B2B and B2C environments—are shaped by leading technology companies. This translates into simple, agile processes with minimal friction. Endless forms, bureaucratic procedures, or unintuitive interfaces are no longer just an annoyance: they are a direct cause of abandonment.

                                        The reality: digital friction is one of the main enemies of conversion. Optimizing user experience is not an aesthetic choice, but a strategic decision that directly impacts profitability, satisfaction, and customer loyalty.

                                        4. Data-driven decision-making

                                        Many leadership teams still manage their business by looking backwards, analyzing monthly reports to understand what happened. While this approach remains useful for historical analysis, it is insufficient in environments that demand fast reactions.

                                        The evolution: today’s technology allows traditional analysis to be complemented with real-time information. Dashboards updated instantly with data on sales, cash flow, or production enable faster, better-informed decisions. Moving from intuition to data-backed certainty is one of the defining traits of companies that lead their industries.

                                        A journey that doesn’t have to be taken alone

                                        Undertaking a digital transformation is not just about implementing technology, but about doing so with sound judgment, business vision, and expert guidance. Having the right partner makes the difference between a one-off investment and sustainable, long-term change.

                                        On this path to 2026, RCM Software and our partner network support companies throughout the diagnosis, definition, and execution of their digital transformation. Through solutions designed to integrate data, optimize processes, and support decision-making, we help organizations build a solid, scalable technological foundation aligned with their strategic objectives.

                                        The future is not improvised: it is designed today. And doing so with the right support is the first step toward leading tomorrow.

                                          Transform your software with embedded analytics

                                          Transform your software with embedded analytics

                                          Data analytics continues to gain ground within companies and has evolved from an attractive add-on to becoming an indispensable element for decision-making and business operations.

                                          In this context, CRM and ERP product developers face the need to integrate data analytics into their solutions. Independent Software Vendors (ISVs) must therefore choose between building an in-house solution or integrating third-party tools, which we call embedded analytics.

                                          In many cases, in-house development is ruled out because it is not cost-efficient and takes longer. It also requires dedicating internal resources to ongoing development and support.

                                          Integrating third-party tools or components improves delivery times and allows the ISV to focus on developing and supporting its own products.

                                          What is embedded analytics?

                                          Embedded analytics refers to analytics built into tools or solutions whose primary purpose is not data analysis, for example, a CRM or an ERP. This allows users to access analytics without leaving the product. From the user’s perspective, charts, reports, and dashboards feel like a native part of the software.

                                          What are its main advantages?

                                          Using embedded analytics in your products directly impacts competitiveness and increases perceived value. Here are its key advantages:

                                          1. Improved perceived product value

                                          Integrated analytics makes the software no longer seen just as a management tool but also as a decision-making support tool. This empowers users to extract value from data within the tools and applications they already use. The increase in perceived value can also open the door to creating premium pricing options with advanced features.

                                          2. Increased engagement, loyalty, and reduced churn rate

                                          Expanding the product’s scope from management to decision-making means users rely on it for more critical tasks, such as marketing budget allocation, stock strategy, etc. As a result, usage frequency increases and the likelihood of switching to another product decreases.

                                          3. Faster decision-making

                                          Without embedded analytics, the process of leveraging data for decisions can be as long as exporting, cleaning, analyzing, and finally deciding. With embedded analytics, users can view key information within the application and quickly move into analysis and decision-making.

                                          4. Reduced friction and improved user experience

                                          With an integrated analytics solution, everything retains the same look, design, and flow as your main application. There are no new interfaces or learning curves—allowing for a smooth, simple, and intuitive experience.

                                          5. Improved core product functionalities

                                          By delegating data analysis to expert companies with mature products, ISVs can devote 100% of their resources to developing new features that keep their product competitive in an increasingly fast-evolving market.

                                          What challenges may arise when using embedded analytics?

                                          We’ve already covered the benefits for both ISVs and end users. Now let’s look at some challenges that may arise—and how to overcome them.

                                          What should you consider when choosing an embedded analytics solution?

                                          There are many providers offering embedded analytics solutions. Here are some criteria to help you make the best choice:

                                          Easy integration

                                          Choose options that allow integration without unnecessary additional steps and that make it easy to embed data analytics into your product.

                                          Customization level

                                          Another key factor is how flexible the tool is when integrating into your user interface. This helps reduce friction and improve user experience.

                                          Licensing flexibility

                                          Every business model has specific needs, so we recommend choosing a licensing model that fits your model—or can adapt to it. This gives you the freedom to make product decisions that keep it competitive.

                                          What is the outlook for embedded analytics?

                                          Embedded analytics will continue to gain traction, as reflected in the Data, BI and Analytic Trend Monitor 2025 survey conducted by BARC. In this survey, 30% of companies reported already using embedded analytics, and 16% said they are planning to implement it within the next 12 months.

                                          With BI4Web, you can enjoy easy integration, world-class features, and the licensing flexibility you need. Contact us, and our team will help you begin your journey into embedded analytics.