Get Used to It: Inconsistent Data is the New Normal

Melissa Team | Address Quality, Analyzing Data, Analyzing Data Quality, Data Cleansing, Data Management, Data Quality | , , , , ,

By Elliot King

Nobody is perfect and neither is corporate data. Indeed, data errors are intrinsic to IT’s DNA. Data inevitably decays. Errors can be caused when data from outside sources are merged into a system. And then, of course, the humans that interact with the system are, well, human.

Unfortunately, despite the best efforts of data quality professionals, the three major IT trends–analytics, big data, and unstructured data–while promising great payoffs generally, promise to exacerbate data quality issues.… Read More