Before building your data quality business case, it's important to know that poor data quality inhibits optimal...
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decision making and costs businesses billions of dollars per year, according to various estimates. That's billions with a "B." Second, I'd also say that data quality issues cause many new system implementations to fail outright. Third, data quality efforts typically are best performed on a regular, as opposed to a one-off, basis. Don't make the mistake of thinking that you can magically fix data quality issues once and that's that. Like termites, they have a tendency to come back if not addressed at a cultural level within an organization.
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