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
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
Research Brief | March 17, 2025
Emerging Databases Prompt Extensive Due Diligence
Research Brief | March 17, 2025
Organizations Assemble GenAI Use Cases for Databases
Research Brief | March 17, 2025
Pre- and Post-launch AI Assessments Surge as Organizations Assess Fit and Function
Research Brief | March 17, 2025