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ESG DATA PLATFORMS, ANALYTICS, & AI

To find more value from constantly growing data sets and to become more data-driven, organizations are prioritizing big data and data analytics initiatives. Companies must be able to quickly, easily, reliably, and securely process, merge, transform, and transact with data to derive value and insights at the real-time speed of the business, whether that data is structured data from a traditional database, unstructured data from a social media platform, sensor data from an oil rig, or the untapped potential in the troves of data available within a data center or from thousands of devices at the edge.

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ESG Master Survey Results: The State of Data Analytics

Current people, process, and technology approaches to supporting data analytics activities, including business intelligence, enterprise data warehouses, data lakes, and public cloud-based services.

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ANALYST COVERING DATA PLATFORMS, ANALYTICS, & AI

Mike Leone

Senior Analyst

Research Coverage
Data Management, Big Data Infrastructure, Data Analytics, and IoT
  

ESG Senior Analyst Mike Leone focuses on big data, data management, and data analytics, including emerging segments such as machine learning, artificial intelligence, and IoT. Since joining ESG, Mike has primarily been a part of the validation team, where he provides third party validation of claims made by vendors about their solutions with coverage across all aspects of enterprise IT.

RECENT ESG BLOGS ABOUT DATA PLATFORMS, ANALYTICS, & AI

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RECENT ESG RESEARCH INTO DATA PLATFORMS, ANALYTICS, & AI

Some of our clients: