How good is this data? Have you asked yourself this question? When you are consuming data for analysis, reporting, operations and decision-making in general it’s a natural question. And, at a time when most organizations are striving to treat data as an asset, lack of confidence in the quality of the data will quickly turn your data into a depreciating asset.
There’s no argument that data quality is important. You don’t have to look very far to find stories of data quality gone bad. For instance, a man once received a $44.8 million bill when an invoice number was mistakenly typed into the invoice amount. Uncovering an issue before it shows up on an invoice or report is mission critical to protecting the confidence in the data. And this is where data profiling and data governance enter. Data profiling is data analysis technique and, when overlaid with a data governance structure, creates a powerful data quality process.
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