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Data platform and integration

Your figures sit in three systems and add up to no picture at all. We bring them together — for reporting today and for AI tomorrow.

What you get out of it

Every report is done by hand

Figures from three systems, copied together once a month. The result is as current as the day someone had time.

The same metric, two values

Two departments calculate differently and both are right. As long as the definition is written down nowhere, every discussion about it is a discussion about authority.

The AI should use our data

An understandable wish — and the point at which it becomes visible that the data is neither in one place nor described.

How it works

  1. Establish provenance

    Which system is the source for which field. Without that, every consolidation carries two truths.

  2. Consolidate and describe

    Transfer into a shared store, with a description per field. The description is not decoration — it is the difference between data and numbers.

  3. Make it usable

    Reporting, an interface, or retrieval by a model. What is built here is the same foundation for all three.

What you receive

  • An overview of which system is authoritative for which field
  • A shared store with described fields
  • Transfers that run repeatably rather than being triggered by hand
  • One access path used by reporting and model alike