The most important characteristic for any organization is not data; it is quality data. In a study, IBM estimated that bad data costs the U.S. economy $3.1 trillion per year. Such costs are incurred when your employees spend time cleaning data or rectifying the errors caused by bad data. Apart from financial costs, bad data becomes a source of dissatisfaction and discontent between you and your customers, partners, and other business relationships. 

This clearly explains the importance of housing quality data in your organization. But what exactly is it, and how can you measure data quality? Let’s take a look.