~160
Companies standardised
Finance data standardisation programme
ERP & group data architecture In progress
Establishing consistent finance definitions, rules for matching records and data-quality checks across roughly 160 operating companies and different source systems.
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The problem
Different ERP and in-house definitions prevented consistent group reporting and a reliable single source of truth.
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My role
Defined master reference tables, source-to-group mapping rules and validation standards.
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Where it stands
Reference and mapping logic are in development; full group standardisation remains in progress.
Results and evidence
multi-ERP + in-house
Sources
Business impact
Creates the controlled data foundation for consistent group reporting and financial intelligence.
How I did it
- 01
Made data ownership explicit so heterogeneous sources conform to one controlled model.
Tools and working context
Roughly 160 operating companies across mixed ERP and in-house systems.
- Tools
- Master data management · Mapping rules · Data quality controls
- Business area
- Data governance · Group reporting
- Skill type
- Data & Reporting · Ways of Working
Why I made these choices
- Mapped each source to a canonical schema instead of forcing immediate ERP convergence, reducing disruption and isolating change.
Skills used
- ETL / ELT Data & Reporting Applied
- Data quality controls Data & Reporting Strong
What I learned
- Shared definitions and clear ownership matter more than any individual transformation.
What comes next
- Extend entity coverage and feed standardised outputs into the group model.