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Utilities Customer Attrition Prediction 

10 days ago

Why are your customers leaving? Use the Utilities Customer Attrition Prediction accelerator to jump-start your analysis.

What's included?

  • A structured business glossary of more than 150 business terms.
  • Sample data science assets

How does it work?

The glossary provides the information architecture that you need to understand why customers leave. Your data scientists can use the sample notebooks, predictive models and dashboards to accelerate data preparation, machine learning modeling, and data reporting.

Quickly identify customers who are likely to leave so that you can get to the root of the problem.

When you import the accelerator:

  • The terms are added to your business glossary under the Utilities Customer Attrition Prediction subcategory in the Industry Accelerators category.
  • The data science assets are added to a new analytics project.
Model insights displayed in the sample R Shiny dashboard app.

Prerequisites

Required services: To use the industry accelerators, you must install one or more of the following services on IBM® Cloud Pak for Data

Service Required for
Watson Knowledge Catalog Importing data governance artifacts, such as business terms and categories. See Installing Watson Knowledge Catalog.
Watson Studio Importing data science assets to an analytics project. See Installing Watson Studio.
Watson Machine Learning Deploying analytical models. See Installing Watson Machine Learning.
RStudio Running R Shiny apps. See Installing RStudio.

Importing the accelerator

To use this accelerator on Cloud Pak for Data v2.5.0.0, complete the following steps:

  1. Download the utilities-customer-attrition-prediction-industry-accelerator.tar.gz file, which is available on the https://github.com/IBM/Industry-Accelerators repository.
  2. Extract the contents of the package.
  3. Import the governance artifacts to Cloud Pak for Data:
    1. Log into the Cloud Pak for Data web client as a user that has the Manage categories permission and the Author governance artifacts permission.
    2. Import the CSV file that defines the categories. The file name should have the following format: accelerator-name-glossary-categories.csv.

      See Managing categories.

    3. Import the CSV file that defines the business terms. The file name should have the following format: accelerator-name-glossary-terms.csv.

      See Managing business terms for the business glossary.

  4. Import the ZIP file that defines the analytics project to Cloud Pak for Data. The file name should have the following format: accelerator-name-analytics-project.zip.

    See Importing a project.

  5. Import the ZIP file that defines the dashboard.
    1. Open the project that you created in the previous step.
    2. From the project action bar, click Launch IDE and select R Studio.
    3. On the Files tab, click Upload.
    4. Browse for the ZIP file. The file name should have the following format: accelerator-name-analytics-dashboard.zip.
    5. Click OK.
    A folder named IndustryAccelerator-Dashboards-master is added to the RStudio server.

    To run the dashboard, open IndustryAccelerator-Dashboards-master/accelerator-name/app.R, then click Run App.

Release Notes

This accelerator has been verified on:

  • Cloud Pak for Data v2.5.0.0

About the developer:

IBM

Licensing

This project contains Sample Materials, provided under license.
Licensed Materials - Property of IBM.
© Copyright IBM Corp. 2020. All Rights Reserved.
US Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp.


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