November 10 Customer Analytics Community – From Customers to Communities: Leveraging Customer Segmentation to Drive Smarter Utility Decisions

Join the Customer Analytics Community on Tuesday, November 10, 2026 at 11:00 AM CT for a presentation with Q&A/open discussion on, “From Customers to Communities: Leveraging Customer Segmentation to Drive Smarter Utility Decisions” led by Pablo Bustamante, Senior Data Scientist & Business Intelligence Analyst at El Paso Electric Company.

 

Session Description:

Utilities have access to vast amounts of customer, operational, and geographic data, yet many organizations still struggle to translate that information into actionable customer insights. This session explores how El Paso Electric developed a customer segmentation framework that combines demographic, behavioral, geographic, and energy consumption characteristics to better understand customer needs and opportunities.
Attendees will learn how customer segmentation can move beyond traditional marketing applications to support utility-specific objectives such as program targeting, load forecasting, customer engagement, distributed energy planning, electrification initiatives, and demand-side management strategies. The presentation will walk through the methodology, lessons learned, visualization techniques, and practical business applications while highlighting how analytics can help utilities create a more customer-centric approach to decision-making.

 

*UAI Utility Members can register and access all nine of our Analytics Communities via our Community Page. Not a part of the Customer Analytics Community and want to join this session? Please use our direct link here to request access. You will find the Teams meeting credentials to the upcoming meeting at the top of the feed on this page. If you have any questions or run into any issues, please contact us at info@utilityanalytics.com.

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Date

Nov 10 2026

Time

ET
12:00 pm - 1:00 pm

Local Time

  • Timezone: Europe/Dublin
  • Date: Nov 10 2026
  • Time: 5:00 pm - 6:00 pm

Location

Virtual

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