{"id":13471,"date":"2023-03-06T19:12:22","date_gmt":"2023-03-06T19:12:22","guid":{"rendered":"https:\/\/prolifics.com\/us\/?p=13471"},"modified":"2025-09-18T15:12:50","modified_gmt":"2025-09-18T09:42:50","slug":"energy-company-improves-response-time-recognizes-savings-with-intelligent-response","status":"publish","type":"post","link":"https:\/\/prolifics.com\/usa\/resource-center\/case-studies\/energy-company-improves-response-time-recognizes-savings-with-intelligent-response","title":{"rendered":"Energy Company Improves Response Time, Recognizes Savings with Intelligent Response"},"content":{"rendered":"

DTE Energy is a Midwest-based diversified energy company involved in the development and management of energy-related businesses and services nationwide. Its operating units include an electric company with more than 2 million customers in its part of the state. The client\u2019s portfolio includes energy businesses focused on power and industrial projects and energy marketing and trading.<\/p>\n

Our client<\/strong>\u00a0<\/cite><\/p><\/blockquote>\n

Challenge<\/h4>\n

The software platform DTE relied on to enable the development and execution of applications that process information in data streams was moving to end-of-life. They needed to at least replicate, if not improve upon, the current functionality for processing event streams and applying business rules for generating action, specifically for areas like outage notification.<\/p>\n

Outage (and restoration) events, generated by smart meters and other IoT (Internet of Things) devices, were sent to DTE\u2019s legacy outage notification system to generate alerts for the operations unit. The alerts could be for power outages, ground faults or meter voltage ratings.<\/p>\n

DTE had a lot of challenges with the current application, prior to the end-of-life announcement. The system underperformed and became less reliable as the load of outage events spiked during storms, and the proprietary nature of the system meant the diagnostic activities were highly constrained. The news that the current platform was going to end of life was the final catalyst.<\/p>\n

Action<\/h4>\n

Prolifics partnered with Databricks to build a complex event processing (CEP) engine on Azure to process real-time events from smart meters. Prolifics proposed the innovative Databricks platform solution to DTE and built a working prototype in just a few weeks.<\/p>\n

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The solution design is based on event driven architecture, completely modularized and follows open standards. The CEP solution can be integrated with the business rules engine in-house, and the platform can act as a business event processing platform for many more use cases to come.<\/p>\n<\/div>\n

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\u201cDTE Energy realizes the potential of building a platform solution for business events analytics. They can now leverage an already built Databricks Lakehouse solution to store the critical business events and build AI models with machine-learningworkloads. Databricks enables the handling of millions of historical events by leveraging delta lake on Azure Data Lake that DTE Energy has built. Open architecture lets it integrate with the business rule engine so the business cab build custom rules and generate next-best actions.\u201d<\/p>\n

Ajay Malgaonkar, Head of Engineering for Prolifics Global Delivery<\/cite><\/p><\/blockquote>\n<\/div>\n<\/div>\n

Prolifics and DTE brought in all the stakeholders, including the cloud vendor architects and the Databricks technology team, to critically evaluate the solution before proceeding. DTE and Prolifics then worked in an Agile manner, to build and implement the solution before the current platform\u2019s end-of-life.<\/p>\n

Result<\/h4>\n

DTE realized the following benefits:<\/p>\n