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Data is the new Oil

The ‘Data Quality Market Survey’ of Gartner found that for the average company in 2017 the direct financial cost of poor data quality is about $15 million per anno. This includes reactive response to data quality issues as well as missed business growth opportunities and an increasing of business risks.

Considering these financial risks of data quality issues, testing has become a necessity in the todays DWH development. Our whitepaper describes how a testing concept for testing Data Vault 2.0 can look like and what to consider in implementing it. The concept is inspired by the agile development process which is an integrated part of the data vault methodology. It proposes a continuous testing to find issues as soon as possible.


Data Vault 2.0 Testing

A procedural framework to structure testing to data vault needs.