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ERP & group data architecture In progress

Finance data standardisation programme

Establishing common finance definitions, mapping rules and data-quality controls across roughly 160 operating companies and heterogeneous source systems.

~160
Companies standardised
multi-ERP + in-house
Sources

Evidence inputs

  • Roughly 160 operating companies across mixed ERP and in-house systems.
  • Master data management · Mapping rules · Data quality controls

Transformation

  • Defined master reference tables, source-to-group mapping rules and validation standards.
  • Made data ownership explicit so heterogeneous sources conform to one controlled model.

Controls & assurance

  • Mapped each source to a canonical schema instead of forcing immediate ERP convergence, reducing disruption and isolating change.

Output

  • Reference and mapping logic are in development; full group standardisation remains in progress.

Business value

  • Creates the controlled data foundation for consistent group reporting and financial intelligence.
  1. Problem

    Different ERP and in-house definitions prevented consistent group reporting and a reliable single source of truth.

  2. Approach

    Defined master reference tables, source-to-group mapping rules and validation standards.

  3. Outcome

    Reference and mapping logic are in development; full group standardisation remains in progress.

Business value

Creates the controlled data foundation for consistent group reporting and financial intelligence.

Transformation route

  1. 01

    Defined master reference tables, source-to-group mapping rules and validation standards.

  2. 02

    Made data ownership explicit so heterogeneous sources conform to one controlled model.

Decision log

  • Mapped each source to a canonical schema instead of forcing immediate ERP convergence, reducing disruption and isolating change.

This case study proves

  • ETL / ELT Data & Reporting Applied
  • Data quality controls Data & Reporting Strong

Full skill evidence →

What I learned

  • Shared definitions and clear ownership matter more than any individual transformation.

Future improvements

  • Extend entity coverage and feed standardised outputs into the group model.

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