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self-service data preparation

Safeguarding Against the Risks of Self-Service Data Preparation

Let me be the first to acknowledge that agility is important. BI products should be predicated on the idea that end users should have direct control over their own data. I believe that it’s better for business professionals to answer their own analytical questions than to inundate IT staff with…

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data quality audit

Using BI to Audit Data Quality

Data Talks, Episode 15 Data Talks is Exago’s podcast on all-things business intelligence, analytics, and application software. When most people think of BI, they think about extracting insights from their data, not about their data. This month, George Firican explains why BI can be a surprisingly effective tool in data…

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assessing data veracity

Assessing Data Veracity

There are different takes on what veracity refers to, but the overall consensus is that data veracity reflects the truthfulness of a data set and your level of confidence or trust in it. I’ll take this a step further and say that data veracity is your level of confidence/trust in…

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Data quality issue logging

18 Data Quality Issue Attributes You Should Be Logging

If you’ve already started or are planning to start a data governance program to support your data quality improvement goals, you need a structured way of tracking your data quality issues and their status. There are different ways of doing this, of course, with either the help of dedicated data quality…

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