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 [...]

Checklist for search in CRM/ERP systems.

It is estimated that 76% of poor data is created in the data entry phase.  Mostly this is due to the fact that the operators simply cannot find the customer, supplier or product.  If you enable the operators to find the record, you will instantly get better data quality.
I have made a checklist of what [...]

Increase your revenue by 66% with Data Quality

I stumbled on this interesting article in destinationCRM.com. It covers research from SeriousDecisions about how best practices in Data Quality can boost revenue by 66%.  Best practice in Data Quality has earlier been proven to be a key to success when you implement MDM solutions.
I have tried to show the cost of poor Data [...]

10 Critical questions to ask when you implement CRM

I came across an interesting article called: Saving CRM: Creating a data quality program by Douglas Ross.  Mr Ross is Douglas Ross, VP & CTO, Western & Southern Financial Group, so it’s from a users point of view, and not a vendor.  This is a well pointed article I urge everybody to read.
The most interesting [...]

Put a Data Quality Backbone in your CRM system.

It has become widely accepted that Data Quality is the main reason for CRM failure:
“Without clean data, there is no CRM. Poor data quality can lead to serious business problems.” – is quoted from an Article called “Avoid the pitfalls of poor data quality” in cxoamerica.com
“If there is no standard of quality for data, a [...]

4 Steps to insure CRM Data Quality

 I stumbled across this article from Destinationcrm.com called ROI – How to ensure CRM Data Quality.   There are som very good advice here.  I will do a short summary of the 4 steps here.

Reduce Multiple Master Records – The biggest enemy of data cleanliness is the redundant record, which disperses and obscures valuable information about a [...]

Optimize your CRM data

The Magazine For Marketing focuses in an article on optimal CRM data.  It is a good article with some valuable hints for those who wants to implement CRM systems.
One focus is data cleansing where they write:
“Cleaning existing bad data can require a great deal of time and effort, so company leaders who have invested time and money into a new system can [...]