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Use case (anonymized)

Data Model Modernization

A modernization of analytics models to reduce ambiguity and downstream breakage. The emphasis was on domain boundaries, stable definitions, and consumer-safe evolution rather than “more tables”.

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Executive summary

  • Business goal: improve decision consistency and reduce consumer breakage.
  • Approach: domain model design plus contract workflows for change control.
  • Outcome: clearer definitions, safer evolution, and smoother cross-team delivery.

Business context

  • Definitions drifted over time and differed by team.
  • Model changes regularly broke downstream reports and services.
  • Ownership was unclear, making fixes slow and political.

What we delivered

  • Domain boundaries and naming standards aligned to decision surfaces.
  • Contract-first interfaces for key models and outputs.
  • Compatibility and review gates for risky changes.
  • Observability for freshness risk and consumer impact.

Technical approach

Inputs Raw data · Events · Feeds Modeling standards Naming · Domains · Definitions Contract gates Compatibility · Review Domain models Stable outputs · Ownership Consumer surfaces BI · APIs · Operational views Observability Freshness · Quality · Impact

How it holds up in production

  • Change control through contracts and review gates.
  • Consumer impact visibility before changes ship.
  • Freshness and quality signals tied to decision surfaces.
  • Ownership clarity for faster fixes and safer iteration.