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From “Headless Chickens” to Lean and Agile Data Quality Practitioners

Data quality practitioners run the risk of that famous adage, “running around like headless chickens”, without convincing and tangible evidence for data improvement. Data quality management provides us...

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The 4th V of Big Data?

The data world is buzzing with articles, posts and presentations asking organisations where they are with their big data strategy. It seems as though the world had barely started taking data quality...

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3-2-1 Start Measuring Data Quality

I recently attended the IRM Enterprise Data and BI conference held from 4th to 6th November in London. This conference was a great opportunity to not only present, but also to gather knowledge from...

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8 Hurdles of a Data Migration

Did you know that 38% of data migration projects fail?* While this statistic represents a bleak picture of wasted effort leading to a drain on resource and budget, it is important to note that a data...

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Tips for your Data Quality Business Case

“How do I build a successful business case for data quality?” This is a frequent question I hear from businesses at our data quality events and seminars. However, in an age where data quality has...

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4 Common Errors of a Data Migration

Data migrations are a fairly common occurrence in today’s businesses. They are no longer just a once in a blue moon activity, because data is migrated practically on a daily basis. We migrate data...

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Data Quality Technology is Evolving

Not too long ago, in the late noughties, I was consulting with a large, international business around one of their data-driven projects. Issues were found in the quality of the data and further...

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