
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
Rethinking Database Requirements in the Age of AI
The growing use of GenAI is changing how businesses manage operations and make decisions. Databases are becoming the core infrastructure of AI-based projects, providing the foundation for use cases that require efficiency and accuracy. It’s now a necessity to use cutting-edge tools such as vector and RAG for processing AI data, and organizations are seeking […]
Analysts Covering Data Platforms

Stephen Catanzano
Senior Analyst, Data Management
Areas of Expertise
- AI Tools for Data
- Data Foundations for AI
- Data Lakes & Warehouses
- Data Management
- Data Observability
- Data Platforms
Recent Data Management Insights
Blog | July 22, 2025
Oracle Expands Multi-cloud Offering With AWS to Meet Enterprise AI Data Strategy
Research Brief | July 22, 2025
The End of the Storage Silo? Pure’s Enterprise Data Cloud Promises a New Era for Data Management
Research Brief | July 18, 2025
Starfish Storage’s Metadata-driven Approach for Unstructured Data Management Strikes a Chord in the AI Era
Research Brief | July 14, 2025