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, Founder, Phil Simons Systems
If you're trying to build a data quality business case, make sure you know common issues caused by poor data quality, with tips and advice from a ...continue reading
A custom system design can pose unique challenges. Learn why and and find out the difference between a customized and non-customized system ...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.