Manufacturing

Manufacturing companies are challenged by petabyte-scale volumes of machine generated data and field data, coming in real-time, and data silos. 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.

Data lies at the heart of an ESG framework, yet it remains a major hurdle. For most organizations data is stored in numerous different silos, from mainframes, to mid-range servers, different data warehouses, and of course the cloud. Enterprises have difficulty bringing all of this data together in a coherent way – and if they cannot, risk their ESG (environmental, social and governance) initiatives failing. They need to be able to monitor, manage and enhance their sustainability plans, and that requires consistent, joined-up data.

Read this IDC Spotlight to understand how well-managed data – captured from numerous systems, business units, and geographies – is key in supporting broader ESG frameworks.