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	<title>Comments on: Data Governance and MDM</title>
	<link>http://andyonenterprisesoftware.com/2007/04/data-governance-and-mdm/</link>
	<description>Andy Hayler, founder of Kalido and The Information Difference, gives his views on the enterprise software market. Issues covered include data warehousing, master data management, business intelligence and data quality.</description>
	<pubDate>Thu, 16 Oct 2008 07:12:28 +0000</pubDate>
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		<title>by: Andy on Enterprise Software &#187; The Price of Failure</title>
		<link>http://andyonenterprisesoftware.com/2007/04/data-governance-and-mdm/#comment-36428</link>
		<pubDate>Tue, 31 Jul 2007 16:10:22 +0000</pubDate>
		<guid>http://andyonenterprisesoftware.com/2007/04/data-governance-and-mdm/#comment-36428</guid>
					<description>[...] 2. Data is only useful if it is trusted, making data quality a key issue. Most data is in a shocking state in large companies, and the problems often come to light only when data is brought together and summarised. The BI project cannot just gloss over this, as the customers will quickly avoiding using the new shiny system if they find they cannot trust the data within it. For this reason the project teams needs to encourage the setting up of data governance processes to ensure that data quality improves Such initiatives are often outside the project scope, are unfunded and require business buy-in, which is hard. The business people themselves often regard poor data quality as an IT problem when in fact it is an ownership and business process problem. [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] 2. Data is only useful if it is trusted, making data quality a key issue. Most data is in a shocking state in large companies, and the problems often come to light only when data is brought together and summarised. The BI project cannot just gloss over this, as the customers will quickly avoiding using the new shiny system if they find they cannot trust the data within it. For this reason the project teams needs to encourage the setting up of data governance processes to ensure that data quality improves Such initiatives are often outside the project scope, are unfunded and require business buy-in, which is hard. The business people themselves often regard poor data quality as an IT problem when in fact it is an ownership and business process problem. [&#8230;]
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