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.
Dig Deeper on Data quality techniques and best practices
Related Q&A from Phil Simon
Are project managers responsible for data management project failure? Find out what a project management consultant says, plus learn the value of ... Continue Reading
In this expert Q/A, you'll learn about some major data management technology trends coming out of the recession, including MDM and new types of data ... Continue Reading
Get a snapshot of the open source data management software vs. on-premise tools debate with advice from a systems expert, including creating policies... Continue Reading
Have a question for an expert?
Please add a title for your question
Get answers from a TechTarget expert on whatever's puzzling you.