IBM Accelerator Catalog
IBM Accelerator Catalog

Utilities Customer Attrition Prediction

Use the Utilities Customer Attrition Prediction accelerator to jump-start your analysis and understand why your customers are leaving. Optionally, use Watson OpenScale to monitor and ensure that your models are free from bias.

Slide Two

Key Challenges

What is an accelerator?
Industry Accelerators are a packaged set of technical assets used to help you tackle your next data science project by addressing your most pressing business challenges. With sample data, notebooks, scripts, a sample application and more, you can kickstart your own implementation and leverage the power of Cloud Pak for Data.

  • In deregulated energy markets, new market entrants are increasing the level of competition, where consumers have a choice of energy provider and are not afraid to look to switching suppliers
  • Research shows that it is much more costly to acquire a new customer than to retain an existing customer by a ratio of 6:1

Expected Business Outcome

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Identify at-risk customers

Improve customer experience

Minimize bias in the model

Using the customer attrition accelerator helps you to identify those customers who are at risk of churning

Proactively engage with the high value customers, possibly preventing the number of customers switching from your utility provider

Understand how your AI models make decisions to detect and mitigate bias

Key Features

Information architecture

End-to-end AI Ladder application

Modular framework

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An architecture enabling you to extract meaning from your data

From cataloging data through a glossary of terms to model development and deployment, simplify the lifecycle of your AI project

Composable and extensible pattern that can be applied to new data and industries

Get Started

Start experimenting today. Download and use this accelerator in your Cloud Pak for Data instance.

Understand how your AI models make decisions to detect and mitigate bias in your Cloud Pak for Data instance.

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Highlighted Products for this Accelerator

IBM Cloud Pak for Data

Built on Red Hat® OpenShift® Container Platform, IBM Cloud Pak for Data accelerates your journey to AI to transform how your business operates with an open, extensible data and AI platform that runs on any cloud.

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Watson Knowledge Catalog

Help your data users quickly find, curate, categorize and share data, analytical models and their relationships with other members of your organization.

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Watson Studio

Empower your data science and AI teams to refine data and visually build and deploy models, using data on the desktop for anytime, anywhere access.

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Watson Machine Learning

Deploy, monitor, and optimize models quickly, easily, and at scale.

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IBM Knowledge Accelerators

IBM Knowledge Accelerators offer pre-created, extensive, curated glossaries to improve data classification, regulatory compliance, self-service analytics and other governance operations.

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Watson OpenScale

Use IBM Watson OpenScale to analyze your AI with trust and transparency and understand how your AI models make decisions to detect and mitigate bias.

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Related Accelerators

Utilities Demand Response Program Propensity

Which customers should be offered the opportunity to enroll in the Demand Response Program? Use the Utilities Demand Response Program Propensity accelerator to jump-start your analysis.

ViewLearn More

Utilities Payment Risk Prediction

Utilities Payment Risk Prediction is a program used by utility companies to identify customers who pose a risk and take preventive steps to remediate future revenue collections issues.

ViewLearn More

Utilities Customer Micro-Segmentation

Customer micro-segmentation is a program used by utility companies to divide a company's customers into small groups based on their lifestyle and engagement behaviors.

ViewLearn More

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Additional details

  • Accelerator typeCloud Pak for Data industry
  • IndustryEnergy and utilities
  • Business functionAny
  • Product and version Cloud Pak for Data,Watson Knowledge Catalog,Watson Studio,Watson Machine Learning,Watson OpenScale - Current
  • Author typeIBM
  • Company nameIBM
  • Author nameIBM
  • Last modifiedSeptember 28th, 2020
  • Language English