∴ DATA

Data can make or break a business. Data must be complete, accurate, timely, and relevant or it is of no use.

Analysts rely on data to test their ideas and make business recommendations. Missing, incomplete, inaccurate data can result in bad business decisions causing losses or worse. Data issues can also quickly undermine users’ trust in the system and cause them to stop using it.

Data for analytics must also be centrally located to make the process seamless, or else users will not be able to do their jobs.