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<HTML>  <HEAD>    <!--SCRIPT LANGUAGE="JavaScript" SRC="http://a1835.g.akamai.net/f/1835/276/3h/www.netlibrary.com/include/js/dictionary_library.js"></SCRIPT>    <SCRIPT LANGUAGE="JavaScript">      if (!opener){document.onkeyup=parent.turnBookPage;}    </SCRIPT!-->    <META HTTP-EQUIV="Cache-Control" CONTENT="no-cache">    <META HTTP-EQUIV="Pragma" CONTENT="no-cache">    <META HTTP-EQUIV="Expires" CONTENT="-1"><META http-equiv="Content-Type" content="text/html; charset=windows-1252"><SCRIPT>var PrevPage="Page_152";var NextPage="Page_155";var CurPage="Page_153";var PageOrder="163";</SCRIPT>  <TITLE>Document</TITLE>  </HEAD>  <BODY BGCOLOR="#FFFFFF"><CENTER><TABLE BORDER=0 WIDTH=100% CELLPADDING=0><TR><TD ALIGN=CENTER>  <TABLE BORDER=0 CELLPADDING=2 CELLSPACING=0 WIDTH=100%>  <TR>  <TD ALIGN=LEFT><A HREF='Page_152.html'>Previous</A></TD>  <TD ALIGN=RIGHT><A HREF='Page_155.html'>Next</A></TD>  </TR>  </TABLE></TD></TR><TR><TD ALIGN=LEFT><P><A NAME='JUMPDEST_Page_153'/><A NAME='{567}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0 WIDTH='100%'><TR><TD ALIGN=RIGHT><FONT FACE='Times New Roman, Times, Serif' SIZE=2 COLOR=#FF0000>Page 153</FONT></TD></TR></TABLE><A NAME='{568}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0><TR>  <TD ROWSPAN=5></TD>  <TD COLSPAN=3 HEIGHT=12></TD>  <TD ROWSPAN=5></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR><TD></TD>  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>The data mining effort that you conduct will likely include a lingering question: <I>''now what?&quot;</I> Are you prepared to use the knowledge of your data mining analysis to change your business and your e-commerce site? Are you prepared to make major marketing and business process changes? Are you prepared and do you have the support of management to re-design your website should your analysis support this action? All or some of these questions are likely to result from the mining of your website and you should plan to deal with them accordingly.</FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{569}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0><TR>  <TD ROWSPAN=5></TD>  <TD COLSPAN=3 HEIGHT=12></TD>  <TD ROWSPAN=5></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR><TD></TD>  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>Data mining is a process, not a project. As such you need to consider who will be doing it, when is it required, and what data will you be mining. Data is not static. As such you need to plan on conducting periodic analysis of it, at what intervals depends on how often and dramatically it changes. For example, a bank may need to mine its data warehouse every quarter for its customer acquisition models. A cellular telephone company may want to mine its warehouse every month in order to keep its churn model fresh and accurate. An electronic retailer may want to mine its website every week&#151;why? Because the business environment each of these entities is attempting to anticipate and model changes at very different rates: customers do not change checking accounts as often as they do cellular carriers or online booksellers.</FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{56A}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0><TR>  <TD ROWSPAN=5></TD>  <TD COLSPAN=3 HEIGHT=12></TD>  <TD ROWSPAN=5></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR><TD></TD>  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>One way of determining how often you need to mine your data is to periodically check the accuracy of your models against current customer data. If the accuracy has deteriorated significantly since the creation of the model, it is time to build a new one. Knowing all of these lingering questions before you start will hopefully lead to a smoother incorporation of data mining into your business and the optimization of your website. Just remember that data mining will definitely benefit any firm with an e-commerce site. A standard process model is being developed by several interest groups known as the CRISP-DM (Cross-Industry Standard Process for Data Mining), which is aimed at moving away from the focus on the technology and instead concentrates on the business problems: <A HREF="http://www.ncr.dk/CRISP/" target="_BLANK"></FONT><FONT FACE='Times New Roman, Times, Serif' SIZE=3 COLOR=#0000FF><U>http://www.ncr.dk/CRISP/</A></U></FONT><FONT FACE='Times New Roman, Times, Serif' SIZE=3>.</FONT><FONT FACE='Times New Roman, Times, Serif' SIZE=3 COLOR=#FFFF00><!-- break --></FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{56B}'/></FORM></P></TD></TR></TABLE><P><FONT SIZE=0 COLOR=WHITE></CENTER><A NAME="bottom">&nbsp;</A><!-- netLibrary.com Copyright Notice -->  </BODY></HTML>

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