The idiom “garbage in, garbage out” is taking on new significance in our increasingly data-driven world. As retailers of all shapes and sizes become more and more reliant on data in all aspects of their business, the cost of bad — or “dirty” — data is rising.
Bad data is estimated to cost the U.S. over $3 trillion annually, not to mention other less measurable costs resulting from the operational inefficiencies or faulty decision-making that bad data can create.
Check out this infographic from Association Analytics to learn more about what dirty data is and how to clean things up.
Infographic provided by Association Analytics, learn more about data analytics software
