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Customer Intelligence

Customer360 platform for personalization and customer intelligence

Designed and delivered a Customer360 data platform that unified customer identity and behavior across B2C and B2B journeys, giving marketing and analytics teams a governed foundation for segmentation, personalization, and measurement.

Identity graph

Ready

360

Unified B2C and B2B customer data for segmentation, personalization, and measurement.

Context

The business needed customer data to do more than sit across disconnected systems. Personalization, segmentation, and growth initiatives required a reusable customer layer that could support analytics, activation, and machine learning instead of one-off campaign extracts.

What I built

  • Unified customer identity and behavioral data across B2C and B2B sources
  • Created segmentation frameworks and marketing activation datasets
  • Designed analytics semantic models for trusted business consumption
  • Built model-ready datasets that could support downstream forecasting, propensity, and churn-oriented use cases

Platform decisions that mattered

This work was framed as a platform capability rather than a marketing project. The architecture created clear boundaries between raw ingestion, conformed customer logic, and business-ready datasets so engineering, analytics, and marketing teams could operate from the same governed foundation.

Outcome

The result was a Customer360 capability that improved customer intelligence, supported targeted marketing, and created a stronger measurement layer for personalization and decision systems.

Impact Lens

Enabled targeted marketing and stronger customer intelligence by connecting identity, behavioral data, semantic models, and model-ready datasets on a reusable platform foundation.

Why It Matters

Each case is framed as systems work: what changed in the platform, governance model, and delivery cadence, not only what shipped.

Executive Readout

  • Platform strategy grounded in architecture depth and operating model design
  • AI readiness built on governance, quality, and reusable data foundations
  • Customer intelligence and decision systems tied to measurable business outcomes