Comments on: Creating a burning data quality platform http://andyonenterprisesoftware.com/2007/10/creating-a-burning-data-quality-platform/ 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. Sat, 11 Oct 2008 00:38:28 +0000 http://wordpress.org/?v=2.0.3 by: adrian walker http://andyonenterprisesoftware.com/2007/10/creating-a-burning-data-quality-platform/#comment-55734 Tue, 18 Dec 2007 15:36:19 +0000 http://andyonenterprisesoftware.com/2007/10/creating-a-burning-data-quality-platform/#comment-55734 Andy -- There's a business rules tool that may be useful for ferreting out data quality problems and suggesting improvements. It's called Internet Business Logic, it's online at www.reengineeringllc.com, and shared use is free. Andy –

There’s a business rules tool that may be useful
for ferreting out data quality problems and
suggesting improvements.

It’s called Internet Business Logic, it’s online at www.reengineeringllc.com, and shared use is free.

]]> by: Ralf Scharnetzki http://andyonenterprisesoftware.com/2007/10/creating-a-burning-data-quality-platform/#comment-46595 Sat, 03 Nov 2007 09:45:21 +0000 http://andyonenterprisesoftware.com/2007/10/creating-a-burning-data-quality-platform/#comment-46595 The Data Quality issues of the Amazon product catalog are a good starting point to raise the attention for the topic. Why? Because Data Quality is no longer a topic hidden somewhere in the "backend". The Data Quality issues in Amazons product catalog "transport" the issue of Data Quality directly to the desk of every Consumer ( example and details in this post: http://www.line-of-reasoning.com/issues/data-quality-issues-cost-you-time-and-money-as-a-consumer-shopping-on-amazon-as-example/ ). So Data Quality issues are "visible" and will become even more so in the future. Is Amazon investing into sorting out the Data Quality issues in their product catalog? For sure, but what is interesting (see my post) is that it looks like they go for "building" a solution themselves versus "buying". The Data Quality issues of the Amazon product catalog are a good starting point to raise the attention for the topic. Why? Because Data Quality is no longer a topic hidden somewhere in the “backend”. The Data Quality issues in Amazons product catalog “transport” the issue of Data Quality directly to the desk of every Consumer ( example and details in this post: http://www.line-of-reasoning.com/issues/data-quality-issues-cost-you-time-and-money-as-a-consumer-shopping-on-amazon-as-example/ ). So Data Quality issues are “visible” and will become even more so in the future. Is Amazon investing into sorting out the Data Quality issues in their product catalog? For sure, but what is interesting (see my post) is that it looks like they go for “building” a solution themselves versus “buying”.

]]> by: Timo Elliott http://andyonenterprisesoftware.com/2007/10/creating-a-burning-data-quality-platform/#comment-41587 Mon, 01 Oct 2007 20:44:42 +0000 http://andyonenterprisesoftware.com/2007/10/creating-a-burning-data-quality-platform/#comment-41587 Andy, I think a big part of it is that it's (a) just not visible, and (b) people don't know where to start. Organizations need to shine line on their data quality problems, and force the business to pay attention. Rather than trying directly to invest in <i>fixing</i> data quality, organizations should first consider an investment in data profiling tools. Using techniques such as counting the number of patterns in the data, these tools make it easy to figure out just how bad the data is in different systems, and generate figures that can be used in anecdotes ("did you know that our customers have seventeen different genders?!"), and for building the business case... I think Andy Bitterer of Gartner summarized it well during his keynote at the BI Conference in London earlier this year (quoting from memory): "There isn't a company on the planet that doesn't have a data quality problem... you should invest in data profiling: it's not expensive"... Regards, Timo <a>BI Questions Blog</a> Andy,

I think a big part of it is that it’s (a) just not visible, and (b) people don’t know where to start.

Organizations need to shine line on their data quality problems, and force the business to pay attention. Rather than trying directly to invest in fixing data quality, organizations should first consider an investment in data profiling tools. Using techniques such as counting the number of patterns in the data, these tools make it easy to figure out just how bad the data is in different systems, and generate figures that can be used in anecdotes (”did you know that our customers have seventeen different genders?!”), and for building the business case…

I think Andy Bitterer of Gartner summarized it well during his keynote at the BI Conference in London earlier this year (quoting from memory): “There isn’t a company on the planet that doesn’t have a data quality problem… you should invest in data profiling: it’s not expensive”…

Regards, Timo
BI Questions Blog

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