<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" media="screen" href="/~d/styles/rss2full.xsl"?><?xml-stylesheet type="text/css" media="screen" href="http://feeds.feedburner.com/~d/styles/itemcontent.css"?><!-- generator="WordPress/2.8" --><rss xmlns:feedburner="http://rssnamespace.org/feedburner/ext/1.0" version="0.92">
<!--c2afpq38x4-->
<channel>
	<title>Simple Data Cleansing - Get the most out of your data</title>
	<link>http://www.dataladder.com/blog</link>
	<description>Get the most out of your idea about, data quality, deduplication, data cleansing, merge purge, merge database, purge database through dataladder blog.</description>
	<lastBuildDate>Tue, 20 Jul 2010 06:17:14 +0000</lastBuildDate>
	<docs>http://backend.userland.com/rss092</docs>
	<language>en</language>
	
	<atom10:link xmlns:atom10="http://www.w3.org/2005/Atom" rel="self" type="application/xml" href="http://feeds.feedburner.com/dataladder" /><feedburner:info uri="dataladder" /><atom10:link xmlns:atom10="http://www.w3.org/2005/Atom" rel="hub" href="http://pubsubhubbub.appspot.com/" /><feedburner:emailServiceId>dataladder</feedburner:emailServiceId><feedburner:feedburnerHostname>http://feedburner.google.com</feedburner:feedburnerHostname><item>
		<title>The Biggest Issue with Data Quality</title>
		<description>Many realize that data quality is an issue and wish to address it somehow. However many organizations struggle with the same issue: The need for a simple plan.

A Simple Plan to show success in  one week

Data quality initiatives can be complex and intimidating. Most vendors offer only large scale, ...&lt;img src="http://feeds.feedburner.com/~r/dataladder/~4/a_DBRk4V-cI" height="1" width="1"/&gt;</description>
		<link>http://feedproxy.google.com/~r/dataladder/~3/a_DBRk4V-cI/</link>
			<feedburner:origLink>http://www.dataladder.com/blog/2010/07/19/data-quality-issues-management/</feedburner:origLink></item>
	<item>
		<title>Every data cleaning situation is unique</title>
		<description>A quick post today.

One often overlooked fact is that every data cleansing situation is very unique.

Take a simple customer deduplication (removal of duplicates) exercise. At first glance it is a very simple problem. Identify the duplicates, and remove them. However once you get into the details you realize there are ...&lt;img src="http://feeds.feedburner.com/~r/dataladder/~4/hlHk6QxdUfI" height="1" width="1"/&gt;</description>
		<link>http://feedproxy.google.com/~r/dataladder/~3/hlHk6QxdUfI/</link>
			<feedburner:origLink>http://www.dataladder.com/blog/2010/06/28/every-data-cleaning-situation-is-unique/</feedburner:origLink></item>
	<item>
		<title>Why Email Cleaning is Crucial to Effective Correspondence</title>
		<description>Email has grown from a mere messaging medium to something indispensable in the corporate arena. Especially, official communication in the corporate sector happens through an organization's mailing system. Though everything, from important decision-making to strategy-planning, happen in a matter of clicking send/receive/forward from your desktop, maintaining an effective email system ...&lt;img src="http://feeds.feedburner.com/~r/dataladder/~4/m82c4jJvABI" height="1" width="1"/&gt;</description>
		<link>http://feedproxy.google.com/~r/dataladder/~3/m82c4jJvABI/</link>
			<feedburner:origLink>http://www.dataladder.com/blog/2009/10/20/why-email-cleaning-is-crucial-to-effective-correspondence/</feedburner:origLink></item>
	<item>
		<title>The Importance Of A Thoughtful Merge Purge Strategy</title>
		<description>The importance of a thoughtful merge purge strategy

Merge Purge is the process of combining two or more lists or files, simultaneously identifying and/or combining duplicates and eliminating (Purging) unwanted records. The purpose of merge/purge is to clean the underlying data set to achieve productivity improvements, save on duplicate mailings, and ...&lt;img src="http://feeds.feedburner.com/~r/dataladder/~4/kFxPsjfcT8Q" height="1" width="1"/&gt;</description>
		<link>http://feedproxy.google.com/~r/dataladder/~3/kFxPsjfcT8Q/</link>
			<feedburner:origLink>http://www.dataladder.com/blog/2009/09/05/the-importance-of-a-thoughtful-merge-purge-strategy/</feedburner:origLink></item>
	<item>
		<title>Getting a Real Return from your Data Quality / Data Cleansing Initiative</title>
		<description>Getting a Real Return from your Data Quality / Data Cleansing Initiative

Some important basic areas that we will cover:

ROI: Return on Investment is a simple measurement of the success of a project. You need to know two pieces

Investment: How much the project will cost and how to get the best ...&lt;img src="http://feeds.feedburner.com/~r/dataladder/~4/sDl7-PWy6C4" height="1" width="1"/&gt;</description>
		<link>http://feedproxy.google.com/~r/dataladder/~3/sDl7-PWy6C4/</link>
			<feedburner:origLink>http://www.dataladder.com/blog/2009/08/06/getting-a-real-return-from-your-data-quality-data-cleansing-initiative/</feedburner:origLink></item>
	<item>
		<title>Why Data Quality and Data Cleansing Projects Fail</title>
		<description>Data Quality and Cleansing initiatives are essential to improving overall operational and IT effectiveness. However many efforts do not get off the ground and get stalled before they really start.                     ...&lt;img src="http://feeds.feedburner.com/~r/dataladder/~4/_EH-b2VrB5M" height="1" width="1"/&gt;</description>
		<link>http://feedproxy.google.com/~r/dataladder/~3/_EH-b2VrB5M/</link>
			<feedburner:origLink>http://www.dataladder.com/blog/2009/07/17/why-data-quality-and-cleansing-projects-fail/</feedburner:origLink></item>
</channel>
</rss>
