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Case Note: Semantic Layer & Metric Ownership Standardization

checklistScope: Data Governance | Business Intelligence | KPI Alignment

Standardizing the semantic layer across a multi-BU enterprise to establish a single source of truth and rebuild metric ownership.

AI Governancecalendar_today Nov 18, 2025schedule 1 min read

Situation

A multi-BU enterprise suffered from "metric fragmentation," where different business units reported conflicting KPIs for the same operational drivers. This led to decision paralysis and executive-level distrust in the BI environment.

Action

We implemented an enterprise-grade semantic layer and data quality control framework:

  • KPI Definition Reset: Facilitating executive workshops to align on 12 "North Star" metrics.
  • Semantic Mapping: Building a centralized logic layer that translates raw ERP data into standardized business definitions.
  • Quality Controls: Installing automated diagnostic traces to flag data integrity issues before they reach reports.

Outcome

Re-established executive trust in the reporting environment. The "Monthly Performance Pack" is now 100% automated, saving 40+ analyst hours per month and ensuring parity across all reporting dashboards.

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Vinay Prathy

Founder | Senior Finance & BI Advisor

Targeted advisory leadership across pricing, operating models, and finance control systems.

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