The problem
Every department has its number. Nobody has the right one.
The same customer exists in three versions across three systems. The revenue figure from sales does not match finance’s, dashboards are assembled by hand every Monday morning, and every new question from leadership triggers a week of extractions. Meanwhile, predictive and automation projects all hit the same wall: data whose origin, freshness and definition nobody can vouch for. The issue is not the reporting tool. It is the data chain, from creation to use.
Our approach
From governed data to decisions backed by the right tools.
Govern
Clear responsibilities for the data, with named owners, shared definitions and measured quality rules: governance as a living organization rather than a binder of procedures.
Master
Building the master data (customers, suppliers, materials, organization) with business rules built into the system: one version of each object, created cleanly at the source and synchronized everywhere.
Build
Implementation of the analytical foundation: business data models on BW/4HANA, live connection to the S/4HANA core and to third-party sources, with no uncontrolled duplication and no makeshift pipelines.
Deliver
Putting it to work: executive dashboards, governed self-service for business teams, connected planning. And foundations ready for the predictive use cases that will plug into them.
The technology
The data foundation of the SAP ecosystem.
We assemble SAP’s data building blocks into one coherent architecture: governed at the source, modeled once, consumed everywhere.
The result
From reporting to decision.
- A single number
Finance, sales and operations work on the same definitions and the same data: executive committees debate decisions, no longer the validity of the numbers.
- Self-service
Business teams explore and build their own analyses, within a governed framework: IT stops being a bottleneck, without losing control.
- Speed
A question from leadership gets an answer in hours. The cost of obtaining information collapses, and with it the reliance on unverified intuition.
- Lasting quality
Data quality is measured, displayed and corrected at the source: every anomaly becomes a signal that gets handled, instead of a silent fix repeated every month.
- Predictive foundation
Forecasts, simulations, automation: predictive use cases plug into a reliable foundation instead of running aground on doubtful data. That is the prerequisite most projects discover too late.
- Leadership
The CDO and executive management have a data asset that is governed, auditable and genuinely worth something: data stops being a scattered cost and becomes a resource that is actively maintained.
One data point, one decision
Let’s talk about your data.
Thirty minutes with a KOORTIS data expert to assess your maturity: governance, master data, analytical foundation. And the first project that will change the game.
Let’s talk →