Instant insight through dashboards and smart data products.
One trusted data platform to build with AI, create applications and scale innovation across your organization.
Trusted by data-driven organisations
























Challenges

Our approach
For organisations that want to centralise their ERP, CRM, financial and operational data without building a full data engineering and operations team themselves.
Central data, integrations, pipelines, data warehouse or lakehouse, governance, security, monitoring and operations.
More about Managed Data Platform02Dashboards, customer portals, custom applications, workflow automation, AI solutions and decision products.
More about Digital Products03Senior data engineers, BI consultants, data managers, developers and project managers for temporary reinforcement.
More about Interim Data ProfessionalsMore reliable decision-making
Less manual reporting work
Lower operating and development costs
A scalable foundation for digital products and AI
01
Connect data sources
02
Manage data reliably
03
Develop digital products
04
Growth, efficiency and advantage
Data Analytics B.V. guides organizations through the full journey from connected data sources to measurable business value.
Our philosophy
We believe data only creates value when it is turned into products and processes that organizations actually use. That's why we don't just build data platforms, we develop dashboards, applications, portals, automation and AI solutions that create measurable business value.
Lower costs, higher productivity, better decision-making and new revenue opportunities.
Dashboards, applications, portals, automation and AI that employees and customers actually use.
A reliable, secure and scalable foundation for all business data.
Data is not the end product. It is the foundation for digital products that create measurable business value.
What we believe
01
Reliable data forms the foundation for digital products, automation and AI.
02
Data only creates value once insights and intelligence become available in products that people use every day.
03
The success of a data platform is not determined by the technology, but by its demonstrable impact on the organization.
People make the difference




Our positioning
Traditional BI vendors deliver reports. Software companies build applications. Data engineering companies build infrastructure.
Data Analytics brings these disciplines together in one integrated approach, from data platform and digital products to long-term management and continued development.
Cases
Examples of how we bring data, technology and operational processes together into solutions that are used every day.
Challenge: Deloitte needed a central and flexible reporting environment bringing together large volumes of data from different source systems (such as CRM and ERP). The existing processes offered insufficient support for ad-hoc analysis and fast decision-making based on market developments.
Solution: A scalable self-service BI environment integrating over 40 million rows of data from multiple source systems.
40+ million rows of data integrated
Read the caseSelf-storageChallenge: The self-storage sector is growing fast, with increased competition, price pressure and operational challenges such as occupancy, contract management and customer acquisition. Many companies had limited data access and relied on separate reports from different systems, which hampered daily steering and growth decisions.
Solution: An industry-wide data platform with more than 20 connected self-storage companies and over 2,000 end users.
20+ connected companies
Read the caseHealthcareChallenge: Iris Eye Clinics wanted full transparency over the entire patient journey, from first marketing contact to financial settlement. Information was spread across marketing platforms, telephony software and the Medicore ERP system, leaving the organisation without overview, speed or reliable management information.
Solution: Full-funnel insight into the patient journey, from first marketing contact to financial settlement.
Full insight into the customer journey: incoming leads, number and frequency of calls, conversion to appointments and treatments, and revenue per treatment type.
Read the caseFrom scattered data sources to one reliable view of the chain.
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