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    <title>topic What are the best ways of developing a customer churn usecase on databricks? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/what-are-the-best-ways-of-developing-a-customer-churn-usecase-on/m-p/22805#M15688</link>
    <description>&lt;P&gt;In this &lt;A href="https://databricks.com/blog/2020/07/15/analyzing-customer-attrition-in-subscription-models.html" alt="https://databricks.com/blog/2020/07/15/analyzing-customer-attrition-in-subscription-models.html" target="_blank"&gt;blog&lt;/A&gt; we implement a typical model for customer attrition in subscription models from data preparation to operationalisation of the model. &lt;/P&gt;</description>
    <pubDate>Fri, 18 Jun 2021 12:10:09 GMT</pubDate>
    <dc:creator>User16857281869</dc:creator>
    <dc:date>2021-06-18T12:10:09Z</dc:date>
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      <title>What are the best ways of developing a customer churn usecase on databricks?</title>
      <link>https://community.databricks.com/t5/data-engineering/what-are-the-best-ways-of-developing-a-customer-churn-usecase-on/m-p/22805#M15688</link>
      <description>&lt;P&gt;In this &lt;A href="https://databricks.com/blog/2020/07/15/analyzing-customer-attrition-in-subscription-models.html" alt="https://databricks.com/blog/2020/07/15/analyzing-customer-attrition-in-subscription-models.html" target="_blank"&gt;blog&lt;/A&gt; we implement a typical model for customer attrition in subscription models from data preparation to operationalisation of the model. &lt;/P&gt;</description>
      <pubDate>Fri, 18 Jun 2021 12:10:09 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/what-are-the-best-ways-of-developing-a-customer-churn-usecase-on/m-p/22805#M15688</guid>
      <dc:creator>User16857281869</dc:creator>
      <dc:date>2021-06-18T12:10:09Z</dc:date>
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    <item>
      <title>Re: What are the best ways of developing a customer churn usecase on databricks?</title>
      <link>https://community.databricks.com/t5/data-engineering/what-are-the-best-ways-of-developing-a-customer-churn-usecase-on/m-p/22806#M15689</link>
      <description>&lt;P&gt;Hello have you read our &lt;A href="https://databricks.com/solutions/accelerators/retention-management" alt="https://databricks.com/solutions/accelerators/retention-management" target="_blank"&gt;solution accelerator&lt;/A&gt; for prediction customer churn?&lt;/P&gt;&lt;P&gt;If you have further questions, please contact your databricks liaison and we can walk you through the solution and how you can deploy it at scale.&lt;/P&gt;</description>
      <pubDate>Fri, 18 Jun 2021 18:18:07 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/what-are-the-best-ways-of-developing-a-customer-churn-usecase-on/m-p/22806#M15689</guid>
      <dc:creator>Mooune_DBU</dc:creator>
      <dc:date>2021-06-18T18:18:07Z</dc:date>
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