There’s no shortage of data in the utility industry. What is in short supply are experts who have the insider knowledge to help utilities thrive in the future by unlocking the full potential of their data today.
As the only full-service SAP consulting and solutions company focused exclusively on utilities, Utegration can position your company to capitalize on advances in artificial intelligence, machine learning, smart grid technologies, IoT, and the future of customer experience.
Aug 11, 2021
As the world entered the 2020s, no one knew what was in store, including utilities. Within a year, extreme events such as the pandemic, wildfires and other climate emergencies, pushed the imagination of every utility executive. And this decade has just begun!
Jul 21, 2021
In early 2020, EPCOR was undergoing a major, highly complex CIS implementation as part of a major business transformation. They were replacing an obsolete custom-built billing solution implemented in 1994 that was getting harder and more expensive to maintain, and a CRM solution installed in 2001 that could not be fully integrated with the billing solution.
Jul 20, 2021
Since sharing some insights about the FERC’s XBRL reporting mandate earlier this year, Utegration’s team has gained greater perspective on what it takes to implement an XBRL solution successfully.
Apr 28, 2021
At Utegration, a large part of the work with do with our clients is in the area of analytics. In this article, we will share several observations about the analytics capabilities utilities are currently seeking most, and which technologies are in the best position to support industry needs and priorities.
Apr 27, 2021
Even before the pandemic, a number of drivers impacted mid-size utilities’ choices in technology investments. Utegration recently teamed with SAP to explore these trends in an on-demand webcast.
May 25, 2020
Given the increasing scrutiny utilities are experiencing from regulators, Utegration advocates that customers running SAP proactively optimize their regulatory accounting models.