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    <title>topic Re: Prepare Data for prediction churn analysis in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Prepare-Data-for-prediction-churn-analysis/m-p/250929#M3714</link>
    <description>&lt;P&gt;&lt;A href="http://www2.sas.com/proceedings/sugi27/p114-27.pdf" target="_blank"&gt;http://www2.sas.com/proceedings/sugi27/p114-27.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You can search lexjansen.com with the terms:&amp;nbsp;survival analysis with churn from a telecom company&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You'll find many papers and hopefully something that works for you.&lt;/P&gt;</description>
    <pubDate>Thu, 18 Feb 2016 19:31:56 GMT</pubDate>
    <dc:creator>Reeza</dc:creator>
    <dc:date>2016-02-18T19:31:56Z</dc:date>
    <item>
      <title>Prepare Data for prediction churn analysis</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Prepare-Data-for-prediction-churn-analysis/m-p/237834#M3491</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am a beginner in modeling and preparation of data for modeling.&lt;BR /&gt;Currently, we prepare the data for modeling churn customers in the TELCO and I have the following problem.&lt;BR /&gt;I churn for the period 201505 and to join these data variables for say 6-9 months before the churn rate and it will targer churn = 1.&lt;BR /&gt;The problem is with the TARGET = 0, which here should take contracts?&lt;BR /&gt;Is such a database only from the period 201411 and variable calculated from 201411 to 201505? (only those which do not churn)?&lt;BR /&gt;Should I take the entire database, or for example if I examine the commercial churn (201505) to take the base of such 201411,&lt;BR /&gt;which will EOP (End of period) in the coming months (eg 6 months)?&lt;/P&gt;&lt;P&gt;Apologizes for probably a trivial question, but as I wrote above, I am a beginner.&lt;BR /&gt;Thank you very much for your help, advice, suggestions on what I should pay attention to.&lt;/P&gt;&lt;P&gt;Thanks&lt;BR /&gt;Pete&lt;/P&gt;</description>
      <pubDate>Fri, 04 Dec 2015 15:49:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Prepare-Data-for-prediction-churn-analysis/m-p/237834#M3491</guid>
      <dc:creator>PITERSON_X_TB</dc:creator>
      <dc:date>2015-12-04T15:49:53Z</dc:date>
    </item>
    <item>
      <title>Re: Prepare Data for prediction churn analysis</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Prepare-Data-for-prediction-churn-analysis/m-p/237844#M3492</link>
      <description>I'm having a hard time understanding your question. &lt;BR /&gt;But here's a paper on using survival analysis with churn from a telecom company, including their sampling specifications.  &lt;BR /&gt;&lt;BR /&gt;I like survival analysis for churn because it helps to account for customers who are still active as well as those that churn. &lt;BR /&gt;</description>
      <pubDate>Fri, 04 Dec 2015 16:27:39 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Prepare-Data-for-prediction-churn-analysis/m-p/237844#M3492</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2015-12-04T16:27:39Z</dc:date>
    </item>
    <item>
      <title>Re: Prepare Data for prediction churn analysis</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Prepare-Data-for-prediction-churn-analysis/m-p/250880#M3712</link>
      <description>&lt;P&gt;where is the paper on this subject? Im interested in doing the same thing and I just want to get an idea on how the data should be structured. For example i want to get propensity to churn in the next 30 days in telco. So i have my customer base this month should i go 12 months back and have data for each month?&lt;/P&gt;</description>
      <pubDate>Thu, 18 Feb 2016 16:34:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Prepare-Data-for-prediction-churn-analysis/m-p/250880#M3712</guid>
      <dc:creator>mmyrto</dc:creator>
      <dc:date>2016-02-18T16:34:12Z</dc:date>
    </item>
    <item>
      <title>Re: Prepare Data for prediction churn analysis</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Prepare-Data-for-prediction-churn-analysis/m-p/250926#M3713</link>
      <description>&lt;P&gt;Here are a couple resources on survival data mining.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://support.sas.com/rnd/app/video/index.html#txtmine" target="_self"&gt;http://support.sas.com/rnd/app/video/index.html#txtmine&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;(See videos Introduction to Survival Data Mining and New Features in the SAS Enterprise Miner 12.3 Survival Node)&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;and this tip that gives a link to an example SAS Enterprise Miner template and accompanying documentation for survival data mining:&lt;/P&gt;
&lt;P&gt;&lt;A href="https://communities.sas.com/t5/SAS-Communities-Library/Survival-Data-Mining-by-Example-in-SAS-Enterprise-Miner/ta-p/231023" target="_self"&gt;https://communities.sas.com/t5/SAS-Communities-Library/Survival-Data-Mining-by-Example-in-SAS-Enterprise-Miner/ta-p/231023&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://support.sas.com/resources/papers/proceedings12/132-2012.pdf" target="_blank"&gt;https://support.sas.com/resources/papers/proceedings12/132-2012.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 18 Feb 2016 19:22:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Prepare-Data-for-prediction-churn-analysis/m-p/250926#M3713</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2016-02-18T19:22:01Z</dc:date>
    </item>
    <item>
      <title>Re: Prepare Data for prediction churn analysis</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Prepare-Data-for-prediction-churn-analysis/m-p/250929#M3714</link>
      <description>&lt;P&gt;&lt;A href="http://www2.sas.com/proceedings/sugi27/p114-27.pdf" target="_blank"&gt;http://www2.sas.com/proceedings/sugi27/p114-27.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You can search lexjansen.com with the terms:&amp;nbsp;survival analysis with churn from a telecom company&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You'll find many papers and hopefully something that works for you.&lt;/P&gt;</description>
      <pubDate>Thu, 18 Feb 2016 19:31:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Prepare-Data-for-prediction-churn-analysis/m-p/250929#M3714</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2016-02-18T19:31:56Z</dc:date>
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