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.
Current people, process, and technology approaches to supporting data analytics activities, including business intelligence, enterprise data warehouses, data lakes, and public cloud-based services.
Data Platforms, Analytics, and Artificial Intelligence
Senior Analyst Mike Leone leads coverage of data platforms, analytics, and AI at ESG. In his analyst role, Mike draws upon his enthusiasm for bleeding edge technology as well as his engineering and marketing backgrounds to help enterprise technology vendors improve everything from go-to-market strategies to product development. Mike has a strong technical background with early roles in software/hardware engineering and gradually moved into marketing roles by helping translate deep technical concepts into understandable business benefits.