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 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.
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. His enthusiasm for bleeding edge technology is contagious and his combo engineering/marketing background helps IT vendors improve everything from product development and marketing to go-to-market strategies and road-map adjustments.