Enterprise Data Strategy Roadmap for Business Outcomes | Endigest
Databricks
|Data EngineeringTags:Data + AI Foundations
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An enterprise data strategy is an organizational blueprint that aligns data investments with measurable business outcomes.
- •72% of senior executives prioritize real-time data access, yet fragmented architectures remain the primary barrier to achieving this.
- •Effective strategies define governance policies, data ownership, stewardship roles, and decision-rights matrices to ensure data trustworthiness.
- •Data management includes implementing quality rules, automated cleansing pipelines, and clear lifecycle processes from creation through retirement.
- •Modern architectures choose between lakehouse, warehouse, or mesh patterns, with 74% of large organizations adopting data lakehouse.
- •A semantic layer translates technical data structures into business-friendly terms accessible to non-technical users.
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