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
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.
Analysts Covering Data Platforms
Stephen Catanzano
Senior Analyst
Areas of Expertise
- Data Collection
- Data Integration
- Data Management
- Data Observability
- Data Ops & Data Mesh
- Data Platforms
Brian McKenna
Regional Director, Analyst Services, EMEA
Areas of Expertise
- Business & Technology Strategy
- Business Applications
- Business Intelligence
- Cybersecurity
- Data Analytics & AI
- Data Management
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