Data Platforms
A significant shift toward the use of data for real-time decision-making is becoming a reality for all sizes of companies, as technology in this market has innovated and matured over the past few years.
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 […]
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
Research Brief | February 12, 2025
Enterprises Tap GenAI Partners as Challenges Mount
Research Brief | February 12, 2025
Major Industries Go All-in on GenAI Vendor and Service Provider Partnerships
Research Brief | February 12, 2025
Mitigating Customer Service Tool Sprawl With AI
Research Brief | February 12, 2025