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    <title>topic Re: Hierarchical Forecasting in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Hierarchical-Forecasting/m-p/296617#M1899</link>
    <description>&lt;P&gt;I would suggest that you look at &lt;A href="http://www.sas.com/en_us/software/analytics/forecastserver.html" target="_self"&gt;Forecast Server&lt;/A&gt;. It is specifically designed for last scale automatic forecasting of time series organized in a hierarchical fashion. This video gives a brief overview of the feture of Forecast Server by guiding through a typical project creation.&lt;/P&gt;
&lt;P&gt;&lt;A href="https://www.youtube.com/watch?v=yZWY8cCzOKU" target="_blank"&gt;https://www.youtube.com/watch?v=yZWY8cCzOKU&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 06 Sep 2016 01:15:56 GMT</pubDate>
    <dc:creator>mitrov</dc:creator>
    <dc:date>2016-09-06T01:15:56Z</dc:date>
    <item>
      <title>Hierarchical Forecasting</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Hierarchical-Forecasting/m-p/296011#M1896</link>
      <description>&lt;P&gt;Summary:&lt;/P&gt;&lt;P&gt;-Every month based on the need of&amp;nbsp; our different department we ask different vendors to provide us contractors to meet our work load.&lt;/P&gt;&lt;P&gt;-The contractors that the vendors provide start entering FTE hours as soon as they start working.&lt;/P&gt;&lt;P&gt;- Based on the data we will need&amp;nbsp; a model that will predict the future FTE hours for a particular state,&amp;nbsp; a particular city, a particular job family, a particular position title.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Example:&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;We have monthly data from 2014 to 2015 for the total FTE hours entered&lt;/LI&gt;&lt;LI&gt;The column headers are as follows:&lt;/LI&gt;&lt;/UL&gt;&lt;TABLE&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P&gt;Year&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;Month&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;State&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;City&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;Job Family&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;Job Title&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;Total Hrs&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P&gt;2014&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;April&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;AL&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;Selma&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;PM&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;PM3&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;10000&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P&gt;2015&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;Feb&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;AR&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;Hot Springs&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;Analyst&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;Analyst2&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;2300&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;So based on the above data we will be able to predict for&lt;/P&gt;&lt;P&gt;2016 September&lt;/P&gt;&lt;P&gt;2016 October&lt;/P&gt;&lt;P&gt;2016 November&lt;/P&gt;&lt;P&gt;For each state and for each of the city and for each of the job family and for each of the job title&lt;/P&gt;&lt;P&gt;Approximately how much hrs are needed.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 01 Sep 2016 22:37:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Hierarchical-Forecasting/m-p/296011#M1896</guid>
      <dc:creator>Mozammel</dc:creator>
      <dc:date>2016-09-01T22:37:09Z</dc:date>
    </item>
    <item>
      <title>Re: Hierarchical Forecasting</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Hierarchical-Forecasting/m-p/296617#M1899</link>
      <description>&lt;P&gt;I would suggest that you look at &lt;A href="http://www.sas.com/en_us/software/analytics/forecastserver.html" target="_self"&gt;Forecast Server&lt;/A&gt;. It is specifically designed for last scale automatic forecasting of time series organized in a hierarchical fashion. This video gives a brief overview of the feture of Forecast Server by guiding through a typical project creation.&lt;/P&gt;
&lt;P&gt;&lt;A href="https://www.youtube.com/watch?v=yZWY8cCzOKU" target="_blank"&gt;https://www.youtube.com/watch?v=yZWY8cCzOKU&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 06 Sep 2016 01:15:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Hierarchical-Forecasting/m-p/296617#M1899</guid>
      <dc:creator>mitrov</dc:creator>
      <dc:date>2016-09-06T01:15:56Z</dc:date>
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