Digital transformation and digitizing data have brought things like data governance, stewardship, observability, and ITOps into the spotlight.

High-quality data is a prerequisite for reliable and trusted analytics and AI results. Analytics initiatives won’t pay off as expected unless the underlying data is aligned with them.

Enterprise Strategy Group’s Data Platforms analysts and demand-side research cover every aspect of an organization’s data platform strategy and technology framework, including:

  • Data collection
  • Data integration
  • Data management
  • Data observability
  • Data platforms
  • Data preparation
  • Data quality
  • Data search/log
  • Data streaming
  • Data transformation
  • Data virtualization
  • Data warehousing
  • Databases
  • DataOps & data mesh

Research Report

Navigating Data Governance in the Age of AI

As a rapidly rising number of organizations across markets position data squarely at the heart of their business, data governance becomes a top priority amid regulations designed to ensure data privacy and security. Efforts to implement strong data governance and data quality are more difficult than ever as AI initiatives lean heavily on data to […]

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Analysts Covering Data Platforms

Stephen Catanzano

Senior Analyst, Data Platforms

Areas of Expertise

  • AI Tools for Data
  • Data Foundations for AI
  • Data Lakes & Warehouses
  • Data Management
  • Data Observability
  • Data Platforms

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