← Selected work
CASE FILE 03 / Analytics & semantic architectureCommercial & healthcare analytics

A common language for business performance.

10+ governed data marts connecting commercial and healthcare analytics to consistent KPIs and Tableau reporting.

MY ROLE
Analytics architect & primary technical contact
ENGAGEMENT
Enterprise client engagement through TCS
STATUS
Established analytics layer
01 / CONTEXT & OWNERSHIP

The challenge behind the platform.

Commercial and medical analytics required consistent business definitions across markets and reporting use cases.

My contribution

Architect for an enterprise analytics layer, and primary technical contact for platform architecture, data quality, and delivery.

02 / ARCHITECTURE & DECISIONS

Inside the system.

01
Enterprise business dataCommercial and healthcare domains
02
Business relationshipsFacts · Dimensions · Reference-data mappings
03
Semantic layer10+ governed data marts · Shared KPI definitions
04
Business consumptionTableau · Consistent enterprise reporting
Conceptual flow · Simplified from documented project scope
01

Built 10+ governed data marts as the semantic layer for Tableau reporting.

02

Standardised business logic and metric definitions for commercial sales and market-performance KPIs.

03

Designed dimensional models for healthcare-domain analytics and related operational measures.

04

Governed master-data mappings, data quality, and pipeline reliability across enterprise analytics workflows.

Redshift · SQL · Dimensional modelling · MDM · Tableau

03 / EXECUTION

From design to delivery.

Connected stakeholder needs with data models, aggregation strategies, and semantic delivery. Governed product and domain reference data across enterprise reporting.

04 / OUTCOME & EVIDENCE
10+governed data marts forming the Tableau semantic layer

Enabled commercial and healthcare analytics through a governed semantic layer, with 10+ data marts supporting consistent downstream reporting.

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