Making the case of error tolerance in Customer Data Quality

Sales people are the ones who complain most about poor data quality and at the same time probably the ones who create most of the dirty data. 76%  of the dirty data is created in the data entry phase. Why not make it easier by introducing some error tolerance in their CRM/ERP Search, Data Quality [...]

Another Calculation Method – The 1 – 10 – 100 Method

I have previously described the 1-in 10 rule.  In the article “The real Cost of Bad Data”  it is described how industry analysts had made the 1-10-100 Method.
The average cost of correct entered contact information into the master database cost
$1 is includes data validation solutions, wages for the employee and cost of computer equipment.
If you do the adress validation and de-dupication after the the submission of [...]