Before building your data quality business case, it's important to know that poor data quality inhibits optimal...
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.
Related Q&A from Phil Simon, Founder, Phil Simons Systems
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