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, [...]

Tip 1 to avoid Poor Data Quality - Easy and Efficient monitoring of data entries

Poor data quality can have different sources:

System inefficiencies. Neither your software or internal control system does not catch the poor data
We are only humans.  Poor data a entered for sevaral reasons. Typos,  we enter data in wrong fields,  enter 0000000 in postal or telephone fields or just fill in as little as you are allowed to do

Customers set up our Data Quality Server to do intelligent continuous cleansing across databases with intelligent search to find [...]

"Without proper data, BI is meaningless"

This claim is put forward by BI analyst Lyndsay Wise in an article in DM review .
She also writes: “Data cleansing tools are a critical component to ensure that dirty data is not brought into the organization’s data warehouse. Non-cleansed data may lead to capturing duplicate, nonvalid records, building reports based on wrong data and [...]

Study shows CFO stressed over Poor Data Quality

An IDC study called ‘Understanding Data Quality Needs And Practices In Asia Pacific’ shows that a majority of Finance Executives admitted to facing stress due to Poor Data Quality in their decision making.  22 percent found it highly or quite stressful.
Another interesting aspect of the study is that 30 percent of the respondents spent 8 hours per week or more verifying the accuracy and quality [...]

Deloitte’s take on Data Quality

I stumbled over this quote from Deloitte:
“Ultimately, poor data quality is like dirt on the windshield. You may be able to drive for a long time with slowly degrading vision, but at some point, you either have to stop and clear the windshield or risk everything.”
I like the analogy

Data Quality is not an IT issue

Data Quality is often seen as an IT-Department issue.  It is time to change this perception once and for all.  Data Quality influences all departments in a business. Sales, Logistics, Customer Care, Financial - the list goes on.  You cannot solve the challenges of Data Quality unless all departments are involved.
In my work with organizations [...]

CIO’s Highest Priority: Business Intelligence

A Gartner Annual CIO report showed that BI applications remain the highest technology priority for CIOs today.
However, only 36% of CIOs believe that management is using the right information to run the business.

CFO’s finds Data Quality more important then Data Security

A new study show that CFO’s are increasingly worried about the state of their firms’ data quality.
Data quality is now more important by CFOs than data security, which is now fourth in the table. This means that data quality will be an important focus area for CFO’s.
For 58 per cent of the respondents to the ninth annual [...]

Laissez-Faire: the biggest obstacle to improved Data Quality

Out of Sight - Out of Mind.  Is this the reason why more businesses don’t do more about the challenges they face concerning their data quality?
A lot of the costs are hidden and cannot be drawn easily.  How do you measure
- Customer dissatisfaction from multiple listings
- Lower employee satisfaction
- Data ownership conflicts
- Difficulties in decision making
- Time delays
- Correcting [...]

Some more estimates of the cost of Poor Data Quality

Larry English writes this in this article:
Quality experts agree that the costs of non-quality are significant. Quality consultant Philip Crosby, author of Quality is Free, identifies the cost of non-quality to manufacturing as 15-20 percent of revenue. Juran pegs the costs of poor quality, including “custom complaints, product liability lawsuits, redoing defective work, products scrapped [...]