Scaling Data Quality for a Leading Retail Giant

Managing a catalogue of over one million products, this retail leader faced critical data duplication and asset data accuracy challenges.

Overview

  • Edgematics implemented a structured Data Governance framework and used PurpleCube AI's Data Quality Studio to automate record matching and merging.
  • Consolidating duplicate product, customer, and transaction records into a single, trusted source of truth.
  • AI-powered asset management analytics were built on this clean data foundation.

Impact:

The retail giant achieved greater operational efficiency, more reliable inventory and product data, and sharper customer engagement driven by accurate insights.

Resources

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