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 [...]

Survey shows you can realize 70% more revenue based on Data Quality

Just before Christmas a interesting survey was released by SeriousDecision, a source for business-to-business sales and marketing best practice research and data.
They really confirms some of my views on the importance of good data quality in the sales process.
1st confirmation:
The cost of poor data is not taken serious at the senior management
“Most b-to-b marketing executives [...]

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 [...]

ROI Tip 1 – Save operating cost from month 1.

Though our tests in the Nordic Regions it shows that organizations and businesses have from 5-30 percent duplicates in their databases.  What is the price for the duplicates?

In an article in DM Review Thomas C. Redman comes with this assesment of the cost of bad data:
“Consider first the cost of efforts to find and fix errors. While organizations do, from time to time, [...]