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Posts Tagged ‘clean data’:


When Charitable Donations Fall – Who’s to Blame?

I was listening to a program on BBC Radio 4 yesterday morning (You and Yours) about the difficulties that charities are facing in these straitened times: “Christmas is the season for giving and is often the big year-end push for many charities. But according to a report compiled by the Charities Aid Foundation and the

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Data Quality and Gender Bending

We have all heard the story about the man who was sent a mailing for an expectant mother. Obviously this exposed the organization sending it to a good deal of ridicule, but there are plenty of more subtle examples of incorrect targeting based on getting the gender wrong. Today I was amused to get another

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Where Is Your Bad Data Coming From?

As Kimball documents in The Data Warehouse Lifecycle Toolkit (available in all good book stores), there are five concepts that together, can be considered to define data quality: Accuracy – The correctness of values contained in each field of each database record. Completeness – Users must be aware of what data is the minimum required

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Assessing Your Data Quality Needs

So you have data quality issues. Who doesn’t? Should you embark on a data quality project? Maybe but what are your objectives? Are there service issues related to poor data quality? Marketing issues? Other major integrations or warehousing projects going on? And once you clean up your data – then what? What will you do

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Cleaner Data. Better Decisions.

We thought the best place to start the new Clean Data Blog would be with a quick look at our new tagline – Cleaner Data. Better Decisions. It’s catchy – we know – but it’s also a very important principle to us. When a company is going down the path of planning a data quality solution

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