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 confidence in the reporting environment by standardizing metric logic, ownership, quality controls, and the monthly performance pack.

Vinay Prathy
Founder | Senior Finance & BI Advisor
Targeted advisory leadership across pricing, operating models, and finance control systems.
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