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 [...]

Ten Mistakes To Avoid In Data Quality Management

In TDWI’s Best of Business Intelligence, Volume 5, they have a chapter on ten misktakes to avoid in Data Quality Management written by Arkady Maydanchik.  I will try summerize the ten points. I strongly advise you to download the report
1.  Inadequate staffing of Data Quality teams
“The Data Quality teams must include both IT specialists and business users.”
2.  Hoping that Data will get better [...]

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 [...]