
From scattered AI experiments to one secure platform
- AI, Claude, AI-beleid
Contradictory reports and manual work often arise because data is scattered and not centrally managed. A data warehouse brings data from all your source systems together in one central place. This way you have reliable, consistent data as a basis for reporting, analysis, and better decision-making.


A data warehouse is a central storage location where data from separate systems, think of your ERP (Enterprise Resource Planning), your CRM, and all kinds of other sources, automatically comes together, gets cleaned, and is linked to each other. Instead of each system having its own truth, you work from one source that is correct.
With an implementation, we build a data warehouse while you don't yet have one. With a migration, we move your existing data warehouse to a new, future-proof environment, for example because the current environment is slow, expensive to maintain, hard to expand, or dependent on a single vendor.
We work in clear steps, so you always know where you stand:
One reliable source
One reliable source where all your data comes together, instead of reports that contradict each other.
Fast and reliable reporting
Reports that load faster and figures whose origin is traceable.
Less manual work
Less manual work and maintenance, because bringing data together happens automatically.
Ready for the future
An environment you can manage yourself and that grows along with new sources and questions.

Heijmans was running into the limits of its existing environment with its project reporting. Together with E-mergo, the construction company built a central data platform on TimeXtender, on which all sources now come together for reporting in both Qlik and Power BI. The result: new data sources are unlocked automatically, reports load faster, and everyone works with the same validated figures.
De Jong Verpakking worked with a large number of systems, each with its own reporting, and wanted to move back to one reporting tool. Together with E-mergo, the company realized the transition to one central environment with TimeXtender and Qlik Sense. The result: one version of the truth and a strong foundation for further data applications.




Want to know what a single reliable data foundation could mean for your organization? We start with a thorough analysis of your data situation and goals, then work in clear, structured steps, and stay on board after delivery for management and further development.
With an implementation, we build a data warehouse while you don't yet have one. With a migration, we move your existing environment to a new, future-proof place. In both cases, the result is the same: one reliable source that everyone draws from.
No. We bring the data from your existing systems together into one reliable picture. You keep the tools that work; we make sure the information from them is correct, flows, and becomes usable.
That depends on the number of sources and the complexity. By largely automating the build with TimeXtender, we work faster than with manual construction.
TimeXtender is software that largely automates the setup and maintenance of a data warehouse, so the build goes faster and the environment stays manageable for your own team.