Ensuring data quality
More than 25 percent of critical data in Fortune 1000 company databases are inaccurate or incomplete
Redundant data
Inconsistent data
Faulty input
Before new database in place, need to:
Identify and correct faulty data
Establish better routines for editing data once database in operation