<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: Did we forget the old adage &#8220;Garbage In, Garbage Out&#8221; I mean Garbage Extracted, Garbage Migrated</title>
	<atom:link href="http://www.dataforge.com/wpblog/index.php/jackie-roberts/did-we-forget-the-old-adage-garbage-in-garbage-out-i-mean-garbage-extracted-garbage-migrated/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.dataforge.com/wpblog/index.php/jackie-roberts/did-we-forget-the-old-adage-garbage-in-garbage-out-i-mean-garbage-extracted-garbage-migrated/</link>
	<description>Business Intelligence Redefined</description>
	<lastBuildDate>Mon, 14 Mar 2011 23:49:04 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.2.1</generator>
	<item>
		<title>By: Phil Simon</title>
		<link>http://www.dataforge.com/wpblog/index.php/jackie-roberts/did-we-forget-the-old-adage-garbage-in-garbage-out-i-mean-garbage-extracted-garbage-migrated/comment-page-1/#comment-878</link>
		<dc:creator>Phil Simon</dc:creator>
		<pubDate>Tue, 27 Apr 2010 18:04:36 +0000</pubDate>
		<guid isPermaLink="false">http://www.dataforge.com/wpblog/?p=391#comment-878</guid>
		<description>&lt;b&gt;Why invest in a software product if the data is not going to be treated as an asset?&lt;/b&gt;

It&#039;s an excellent question, Jackie. Maybe one day I&#039;ll be smart enough to actually to know the answer.

Give me an older system with good data over a newer one with garbage any day of the week and twice on Sunday.</description>
		<content:encoded><![CDATA[<p><b>Why invest in a software product if the data is not going to be treated as an asset?</b></p>
<p>It&#8217;s an excellent question, Jackie. Maybe one day I&#8217;ll be smart enough to actually to know the answer.</p>
<p>Give me an older system with good data over a newer one with garbage any day of the week and twice on Sunday.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Ken O'Connor</title>
		<link>http://www.dataforge.com/wpblog/index.php/jackie-roberts/did-we-forget-the-old-adage-garbage-in-garbage-out-i-mean-garbage-extracted-garbage-migrated/comment-page-1/#comment-874</link>
		<dc:creator>Ken O'Connor</dc:creator>
		<pubDate>Tue, 27 Apr 2010 13:20:22 +0000</pubDate>
		<guid isPermaLink="false">http://www.dataforge.com/wpblog/?p=391#comment-874</guid>
		<description>Hi Jackie,

Expectation management is one of the challenges of &quot;new systems&quot; and new &quot;software products&quot;.  The marketing material, and the business case always highlights what the new system is, undoubtedly, CAPABLE of doing.

The marketing demo shown to the senior execs, always uses pre-populated sample data, to illustrate the wonderful capabilities of the new system. 

The fact that a new system is CAPABLE of accepting perfect data, and CAPABLE of generating wonderful results, on the basis of perfect data, is no indication of what the new system will ACTUALLY do.      

Most new systems need to be populated by a Data Migration project.  Failing to plan data cleansing of the old data is shockingly common place.     

Then senior execs express surprise when the &quot;new system&quot; fails to live up to their expectations....

Some &quot;new systems&quot; are required for regulatory compliance reasons (Anti Money Laundering, Solvency II, etc. ).  Regulators are beginning to seek evidence of the data population processes - I cite some examples on my blog.  

Rgds Ken</description>
		<content:encoded><![CDATA[<p>Hi Jackie,</p>
<p>Expectation management is one of the challenges of &#8220;new systems&#8221; and new &#8220;software products&#8221;.  The marketing material, and the business case always highlights what the new system is, undoubtedly, CAPABLE of doing.</p>
<p>The marketing demo shown to the senior execs, always uses pre-populated sample data, to illustrate the wonderful capabilities of the new system. </p>
<p>The fact that a new system is CAPABLE of accepting perfect data, and CAPABLE of generating wonderful results, on the basis of perfect data, is no indication of what the new system will ACTUALLY do.      </p>
<p>Most new systems need to be populated by a Data Migration project.  Failing to plan data cleansing of the old data is shockingly common place.     </p>
<p>Then senior execs express surprise when the &#8220;new system&#8221; fails to live up to their expectations&#8230;.</p>
<p>Some &#8220;new systems&#8221; are required for regulatory compliance reasons (Anti Money Laundering, Solvency II, etc. ).  Regulators are beginning to seek evidence of the data population processes &#8211; I cite some examples on my blog.  </p>
<p>Rgds Ken</p>
]]></content:encoded>
	</item>
</channel>
</rss>

