Do we really need a business case for data quality?
On the 28th of february 2011 TDWI in Finland is organizing a Data Quality seminar with yours truly as the speaker (event link: http://www.tdwi.fi/tapahtumia-events/). Apart from the main presentation we will also have two round table discussions. The idea is to spark interesting discussions based on your experience and knowledge around your data centric business challenges. Please feel free to start the discussion by commenting this post, based on the question above! Please leave any comments on TDWI:s own blog: http://www.tdwi.fi/2011/01/do-we-really-need-a-business-case-for-data-quality/
Best Regards
Dario Bezzina
Is MDM the answer to bad data quality?
On the 28th of february 2011 TDWI in Finland is organizing a Data Quality seminar with yours truly as the speaker (event link: http://www.tdwi.fi/tapahtumia-events/). Apart from the main presentation we will also have two round table discussions. The idea is to spark interesting discussions based on your experience and knowledge around your data centric business challenges. Please feel free to start the discussion by commenting this post, based on the question above! Please leave any comments on TDWI:s own blog: http://www.tdwi.fi/2011/01/is-mdm-the-answer-to-bad-data-quality/
Best Regards
Dario Bezzina
At first I was going to call this post You say potato and I say potahto Part 2 as a continuation on the topic about unclear definitions of the word Data Quality ( Read the post). I would like to discuss the problem of mislabelling data quality problems and the damage it can cause. We all know what system bugs are and most of us can relate to them as we use software daily. Many of us have also encountered data quality problems either in our work or as individuals. The worlds of system bugs and data quality bugs share a lot of commonalities. We all know that a system bug costs much more to identify and correct in the later project stages, just as a data quality bug. In both worlds you want to find and correct the problem at the source, and so on. This is also where the resemblance stops. Unfortunately many make the mistake of mislabelling data quality bugs as system bugs, causing all kinds of problems…
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Posted in Data Quality Sales and Marketing
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Tagged bugs, data governance, data management, data quality, definitions, information quality, marketing, mislabelling, project, sales, system development
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At my seminars I always enjoy asking my audience how they deal with data quality. Everyone thinks that data quality is important to them, a majority thinks that low data quality has a negative impact on the bottom line, but when I ask how many that are actively working with data quality I can barely see any hands in the air. I can see many possible reasons for this gap between Sayers and Doers but one of the most important one I believe is a lack of understanding of the value of information. Companies today spend a significant amount of money managing assets like people, material, patents etc. Why? Because they see a value in these assets large enough to have organizations, budgets and staff to manage it all…
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One problem when trying to convince people to improve their data quality is that the word itself, Data Quality, is well known, used but also abused in our organizations today. For any other buzz word this would be positive but not for the word data quality. Actually the term has been around for so many years that it has in a sense lost its original meaning, and many take it for granted. This poses a problem when people think they are handling their data quality correctly when in fact they are not.
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Posted in Data Quality Sales and Marketing
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Tagged business, data, data definition, data governance, data integration, data management, data quality, datakvalitet, definition, information quality, informationskvalitet, IT, quality
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Welcome to my first post in my first blog and most likely the only Swedish blog devoted to Data Quality… Yes I’m probably going to see comments like “We also discuss data quality in our blog” but this blog will be purely about data quality and related topics, so no posts about dash boards, CRM or predictive analysis except if they relate to bad data.
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Posted in General
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Tagged affecto, bezzina, business intelligence, dario, data, data governance, data integration, data management, data quality, dataintegration, datakvalitet, etl, information quality, informationskvalitet, master data management, mdm
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