Data released to public must be spotless

Making sure data quality of internal files is high is vital for keeping corporate plans on track. If there is one data management procedure more important, however, it is cleansing and checking information released to the general public. According to tech blogger Mike Dobson, the release of Apple's mapping software is an example of a data quality failure.

Dobson noted that Apple's scientists likely put too much trust in their algorithms to take care of the map. He explained that placing more human supervision on the program could have avoided some of the more glaring errors. According to Hobson, that is exactly how Google Maps started in its very early going, when it was significantly worse than at present.

The problems with Apple's maps have been widely noted. They are so prevalent that Dobson's main suggestion for the tech giant is to completely reassess the way it combines data in a mapping context.

No matter the field, the information customers see must be orderly to maintain a company's reputation. According to Computerworld contributor Susan Feinberg, this is true in banking as well. She also prioritized information taken directly from financial transactions and data sent to government regulatory bodies.