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, conduct massive clean-up exercises, most efforts to find and fix errors are embedded in day-in and day-out work. Over the years, we developed the Rule of Ten: If it costs $1.00 to complete a simple operation when all the data is perfect, then it costs $10.00 when it is not (i.e., late, hard to interpret, incorrect, etc.).”

In my example I will use the price of 1 DKK pr record and 10 DKK for incorrect data.  I will use the conservative 5% duplicate.

Cost of poor data



The Solution:
In this solution I have used the rentalprice of Omikron AddressCenter.  With rental you can deduct the whole cost in the operating costs, whereas if you buy the solution it will be in the investment costs.

Omikron AddressCenter or Data Quality Server is through test proved to be the most intelligent, efficient and easy-to-use tool to find/match duplicates.

3 Responses

  1. […] 1 – 10 – 100 Method Posted on January 10, 2008 by jeric40 I have previously described the 1-in 10 rule.  In the article “The real Cost of Bad Data”  it is described how industry analysts […]

  2. […] have stressed this in several of my earlier posts:, as well as described both the 1 in 10 rule and 1-10-100 […]

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