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
Survey Results
Data Governance in the Age of AI
This Complete Survey Results presentation focuses on data user trends, data classification and lineage, drivers behind data governance strategies, challenges with data governance adoption, the impact of AI on data governance, the importance of data governance elements, and investment plans. Already an Enterprise Strategy Group client? Log in to read the full report. If you are […]
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
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
Recent Data Management Insights
Infographic | August 21, 2024
Evaluating the Pillars of Responsible AI
Research Report | August 16, 2024
Evaluating the Pillars of Responsible AI
Research Brief | July 26, 2024
AI Use Cases Blossom Across Industries
Research Brief | July 25, 2024