Many utilities find themselves drowning in data instead of using it to understand patterns and trends in operational change, and increasing their overall flexibility and nimbleness. With operational data divided across a business, buried under layers of complexity, and often lacking meaningful context, it’s nearly impossible to use this data effectively.
Turning data into a useful operational tool requires robust systems to make data available, understandable and usable across the entire utility. The emerging discipline of DataOps empowers utilities to build a pipeline that reliably and automatically supplies high-quality data wherever it is needed. In this playbook, we take a look at how DataOps: