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Auvetric Data Solutions
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Retail & FMCG · Professional experience

Multi-Store Enterprise Data Centralisation

Participation in a retail system conversion consolidating store-level data into a central environment.

Operational· pending verificationEmployer-owned — experience summary only

Publication draft: status, contribution and technical details require contributor approval. The architecture and implementation notes below are illustrative, not verified accounts of a client deployment.

Context & challenge

Store-level data maintained independently drifted apart, making central control of products and pricing difficult.

Objectives

  • Consistent master data across locations
  • Central ownership of product and pricing records

Solution approach

  • Mapping store records to central identifiers
  • Identifying and resolving conflicting attributes
  • Coordinating data corrections with stores

Architecture

  1. Store systems
  2. Extraction
  3. Mapping & cleansing
  4. Central master data
  5. Store distribution

Simplified and anonymised. No private infrastructure details are published.

Important technical decisions

  • Central source of authority per attribute

Operational considerations

  • Coordinating many locations during cut-over
  • Keeping trading uninterrupted

Results

Results pending verification. We only publish outcomes that have been confirmed.

Lessons learned

  • Conversions succeed or fail on master-data ownership, not software.

Let’s build something that works.

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