Pillar · Enterprise Architecture & Transformation
Data, Reporting & Analytics
Figures with a provenance — and master data with an owner.
What is at stake for the CIO
Two reports with two revenue figures cost more trust than a missing dashboard. The question is not which analytics tool is chosen, but which system owns which figure — and how that is demonstrated when it is disputed.
The question behind it
Where do price, stock, customer and master data live authoritatively?
- 1Authoritative system
- 2Definition of the figure
- 3Data platform
- 4Report with provenance
Systems and processes
- Operational reporting in day-to-day business
- Management reporting and steering figures
- Connecting the data platform and data lake
- Master data architecture and authoritative systems
- Data ownership across organisational boundaries
- Traceability of figures back to source
Decisions that go wrong most often
- The data platform is built before it is clear who defines the figure.
- Reporting reads operational tables directly and thereby blocks every core change.
- Master data is maintained in several systems and owned in none.
- Analytics projects deliver dashboards but no definitions.
Decisions FirstRetail prepares
- 1Which system is authoritative for which figure.
- 2How figures are defined, versioned and traced back to source.
- 3Which analysis stays operational in the core and which belongs on the data platform.
- 4Who carries data ownership — in the business, not only in IT.
Where the experience comes from
Master data and reporting architecture from retail and luxury programmes and from the current S/4HANA consolidation. The role is architecture, integration and governance — not the implementation of data lake platforms.
Every name here stands for historical delivery experience from completed programmes. None of them is an endorsement or an indication of a current client relationship. I do not display logos; that would need a permission I do not have.