Many manufacturing companies are investing in big data, cloud, IIoT and IoT, and other modern technologies and approaches for Industry 4.0, but many are challenged by petabyte-scale volumes of machine generated data and field data, coming in real-time. For many manufacturing companies, data silos remain, presenting an ongoing challenge to data architects, IT and the business itself. These obstacles severely limit the value and application of actionable insights that can be gained from the manufacturing and supply chain process.
Self-service analytics promises to liberate business users to perform analytics without the assistance of IT, and this in turn promises to free IT to focus on critical priorities across the entire spectrum of the Technology landscape.