Comments on: Are you an MDM sinner? http://andyonenterprisesoftware.com/2006/04/are-you-an-mdm-sinner/ 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. Sun, 12 Oct 2008 22:19:01 +0000 http://wordpress.org/?v=2.0.3 by: Andy Hayler http://andyonenterprisesoftware.com/2006/04/are-you-an-mdm-sinner/#comment-85 Thu, 18 May 2006 12:52:00 +0000 http://andyonenterprisesoftware.com/2006/04/are-you-an-mdm-sinner/#comment-85 I absolutely agree Ian. It is critical that data problems are shown to the business; they cannot be swept under the carpet by IT. Such data issues cost companies a fortune, and in many cases they are unaware of them. I absolutely agree Ian. It is critical that data problems are shown to the business; they cannot be swept under the carpet by IT. Such data issues cost companies a fortune, and in many cases they are unaware of them.

]]> by: Ian Bennett http://andyonenterprisesoftware.com/2006/04/are-you-an-mdm-sinner/#comment-84 Mon, 15 May 2006 01:37:00 +0000 http://andyonenterprisesoftware.com/2006/04/are-you-an-mdm-sinner/#comment-84 Visibility is the key. MDM perfection is a pipe dream, but the more visibiilty we can give to inconsistencies and inaccuracies, the better decision makers can assess the risks associated with decisions made on that data. It may also prompt the decision to actually spend the money to improve data. Of course, this flies in the face of the currently common practice of hiding such inaccuracies from management and pretending data issues dont exist. Visibility is the key. MDM perfection is a pipe dream, but the more visibiilty we can give to inconsistencies and inaccuracies, the better decision makers can assess the risks associated with decisions made on that data. It may also prompt the decision to actually spend the money to improve data.

Of course, this flies in the face of the currently common practice of hiding such inaccuracies from management and pretending data issues dont exist.

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