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

Data Platforms: The Path to Achieving Data-driven Empowerment

To assess the current and future landscape for data platforms, including supportive technologies and processes, Enterprise Strategy Group surveyed 354 IT professionals in North America (US and Canada) involved with decisions for data and analytics, modern tooling, data technologies, and data-centric processes in their organization.

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Analysts Covering Data Platforms

Stephen Catanzano

Senior Analyst, Data Platforms

Areas of Expertise

  • Data Collection
  • Data Integration
  • Data Management
  • Data Observability
  • Data Ops & Data Mesh
  • Data Platforms

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Brian McKenna

Senior Analyst, Business Applications & EMEA Analyst Services Director

Areas of Expertise

  • Business & Technology Strategy
  • Business Applications
  • Business Intelligence
  • Contact Center
  • Customer Data Platforms (CDP)
  • Customer Experience/CRM

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Recent Data Management Insights