Here we look at recent online data cleansing projects for two companies that had unreliable records in their databases. Each company wanted to check their data against multiple suppression files such as movers and deceased as well as flagging those records that had activated mailing and telephone preference services.

On a daily basis, an average of 9,590 households move, 1,496 people get married, and 1,500 people die. All of these events had affected the reliability of their data. Both companies involved knew the value of cleansing their data regularly and needed to highlight any discrepancies.