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, 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
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