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 issue in the following situations:
- Migrating your old data from your legacy system to a new software solution (converting master data)
- Upgrading to a newer version of your current software
- Trying to get rid of your current software’s old and polluted data
Regardless of which circumstance applies to you, making your data clean and workable may take weeks or months (or even years!). The exact length of the process will depend on the complexity of your business operations, the age of your database, and the extent to which your data is polluted.
However, the effort is well worth the cost. At the end of the data cleaning process, your information will be of higher quality, occupy less space, and have fewer issues with data integrity. Here’s a look at 10 challenges that you need to plan for when cleaning and converting your enterprise data.
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