One of the problems we frequently encounter in business is that our data is not as clean as we might want it to be. We are plagued by duplicates, fields that are formatted incorrectly or in the wrong place, needed values that are missing, outdated information, or even data that is flat-out wrong.
This becomes an especially prevalent problem for companies that have to deal with other companies data sets either through consulting or through mergers, but it can happen anywhere due to user error, software glitches, imported lists for marketing, or miscommunication.
