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.
This report takes a deep dive into the embedded analytics market to discover:
ESG research shows that using a formal data science team is tied to better business outcomes.
Use this infographic to understand what that means for IT organizations in terms of total data use, the public cloud, serverless analytics, and more.
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.