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Approach and Methodology

Note

This assessment was conducted using a dual-track approach—combining technical analysis with business discovery—to ensure both the data landscape and organizational priorities were thoroughly understood.

Key activities included:

  • Stakeholder Interviews and Workshops: To align on business goals and uncover unmet data needs
  • Technical Deep Dives: Evaluation of data platforms, pipelines, governance practices, and current tooling
  • Data Inventory and Quality Audits: Identifying gaps in cataloging, accessibility, and consistency
  • Business-Driven Prioritization: Anchoring recommendations in initiatives like Customer 360, marketing efficiency, and supply chain resilience

This methodology ensured that all recommendations were grounded in real-world use cases, not theoretical models—optimizing for business value first, with technical feasibility as a supporting factor.