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Archive for Month: September 2017

Data

The Top 10 Challenges When Cleaning and Converting Master Data

Dirty data is a big problem—and too many companies don’t know how to handle it. According to a 2013 Gartner study, 20 percent of the information inside a database is of poor quality, and it’s costing organizations an average of more than $14 million every year. Data cleaning is a challenging […]