Business Intelligence
Bring insights to your teams for better outcomes
See performance, predict results, and make confident decisions
Your organization runs on data, but when it’s scattered across systems, it’s hard to see the full picture. Flawless Workflow Business Intelligence gives you a clear, real-time view of operations, performance, and outcomes, all in one place powered by the Data & AI platform.
With trusted data from every system and department, leaders can act faster, teams stay aligned, and decisions are based on facts, not assumptions.
No more static reports — just live insights that empower every level of your organization.
See everything clearly
Dashboards give you a live overview of operations, performance, and results without waiting for reports.
Track KPIs, monitor progress, and spot opportunities instantly from one reliable source of truth connected to your data platform.
Flexyform: Capture what’s missing
Even the best systems leave gaps. Data stuck in spreadsheets, forms, or people’s heads. FlexiForm lets teams easily create and use simple apps to capture that missing information.
Everything connects automatically to your Data & AI Platform, keeping dashboards and KPIs complete and always up to date.
Talk to your data
Instead of searching through systems, reports or dashboards, just ask your question. Talk to Your Data uses private, secure AI to understand context, analyze connected, and instantly deliver clear answers, explanations, and trends.
No waiting — just a quick conversation with your data.
Predict what’s next
Flawless Workflow uses AI into your Data & AI platform to detect patterns, forecast outcomes, and reveal opportunities before they appear.
Customer in the spotlight
Municipality of Enschede/Losser
€78,000
2,040
€1,000
See what it means for your industry through practical use cases
Frequently asked questions
A Data & AI platform is an integrated solution that brings together, manages and uses data from various sources to work smarter.
It combines technology for data collection, storage and analysis with AI applications that turn insights into action.
In short: a Data & AI platform not only provides reliable data, but also makes it possible to use that data directly for automation, predictions and decision-making.
One big Data & AI platform can do the same on a much larger scale — it processes massive amounts of data and supports advanced AI models for more complex analyses.
A modern Data & AI platform is a contemporary approach to data management, in which data is not only stored but also used immediately.
It's mostly cloud-based, scalable, and uses AI and machine learning to automatically generate insights, recognize patterns, and optimize processes.
In this way, the platform grows with the organization and raw data turns into smart decisions and concrete actions.
No. In fact, a data warehouse is even part of a data platform.
A data warehouse primarily serves as storage, while a full-fledged data platform can store, analyze, secure and transform data within one infrastructure. In summary, a data platform contains all the tools, technology and processes for working with data. A Data & AI platform also forms the basis for AI applications that turn insights into action.
A data platform is important because it ensures that all the organization's data comes together in one central location. As a result, everyone works with the same reliable information and decisions can be made based on facts rather than feelings. The platform saves time and prevents errors because data is automatically collected, cleaned and updated.
In addition, it forms the basis for artificial intelligence, because AI can only function properly with structured and qualitative data. A data platform also helps to deal with data securely and in accordance with the AVG, because it is clear who has access to what information. Finally, a data platform grows with the organization, making it a sustainable investment that provides more and more value as the organization continues to digitize.
A data platform can be linked to almost all systems in which data is recorded within an organization. For example, consider:
- Financial systems such as Exact, AFAS or Visma
- HR and salary systems such as Youforce, Loket.nl or Nmbrs
- ERP systems such as SAP, Microsoft Business Central, or Ridder iQ
- CRM systems such as HubSpot, Salesforce, or Teamleader
- Planning and registration systems such as SDB Planning, ONS or TimeChimp
- Project and document management systems such as SharePoint, Monday.com, or Autodesk
- Web shops and marketing tools such as WooCommerce, Mailchimp, or Google Analytics
- Machines or sensors
These systems are linked to the data platform via APIs, database dumps or file exports. This creates one central source of truth, bringing all information together for reports, dashboards and AI applications.
No. Medium-sized organizations in particular benefit strongly, because they often use many systems but do not yet have a central data layer. A data platform also grows with the organization. A data platform often pays for itself within one year for medium-sized organizations.
Depending on the size and number of systems, this is usually around 3 months before the first working version, including the first dashboards and reports. The implementation lead time depends on the number of links, the number of dashboards and the amount of data & AI solutions that are desired.
Curious about what is possible?
Whether you’re curious about AI, data, or improving your organization, or want to dive into a use case or see a demo, our experts are here to help. Let’s brainstorm together!
