Customer Intelligence: Data-driven Analytics for Understanding Utility Customer Behaviour

  • The advanced customer segmentation analytics to dynamically learn customer profiles based on prediction goals (e.g energy theft and solar panel adoption)
  • The advanced analytics visualisation offering various scenario analysis based on business processes
  • The ability to navigate and drill through customer profile and contexts such as likelihood of electricity theft and collectible revenue, likelihood of solar panel adoption in the near future. The scoring system provides the score by various contexts so that a decision maker or a market analyst can view 360 view of customers
Energy Retail Data Analytics Consumer Engagement

Presentation Date

Wednesday, November 5, 2014 - 11:15



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