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Andy Hayler

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Andy Hayler is one of the world’s foremost experts on master data management. Andy started his career with Esso as a database administrator and, among other things, invented a “decompiler” for ADF, enabling a dramatic improvement in support efforts in this area.  He became the youngest ever IT manager for Esso Exploration before moving to Shell. As Technology Planning Manager of Shell UK he conducted strategy studies that resulted in significant savings for the company.  Andy then became Principal Technology Consultant for Shell international, engaging in significant software evaluation and procurement projects at the enterprise level.  He then set up a global information management consultancy business which he grew from scratch to 300 staff. Andy was architect of a global master data and data warehouse project for Shell downstream which attained USD 140M of annual business benefits. 

Andy founded Kalido, which under his leadership was the fastest growing business intelligence vendor in the world in 2001.  Andy was the only European named in Red Herring’s “Top 10 Innovators of 2002”.  Kalido was a pioneer in modern data warehousing and master data management.

He is now founder and CEO of The Information Difference, a boutique analyst and market research firm, advising corporations, venture capital firms and software companies.   He is a regular keynote speaker at international conferences on master data management, data governance and data quality. He is also a respected restaurant critic and author (www.andyhayler.com).  Andy has an award-winning blog www.andyonsoftware.com.  He can be contacted at Andy.hayler@informationdifference.com.

 

March 2009 Archives

I have recently been spending some time looking at the data quality market, and a few things seem to pop up time and again. The first thing is, in talking with customers, just how awful the quality of data really is within corporate systems. One major UK bank found 8,000 customers whose age was over 150 according to their systems. All seemingly academic (if you are taking money out of your account, who cares what your age is?) until some bright spark in marketing decided that selling life insurance to these customers would be a fine idea.

Story after story confirms some really shocking data errors that lurk beneath most operational systems. These are the same operational systems that are used to generate data for the end-year accounts which senior executives happily sign off on pain of jail-time these days. I hope no one shows these sames execs the data inside some of these systems, or they might start to get very nervous indeed.

Yet in a survey we did last year, only about a third of companies in the survey have invested in data quality tools at all! Does anyone else find this in any way scary? Do you have any entertaining data quality stories you can share?


Posted March 11, 2009 3:42 PM
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