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• Gain a single view of customer accounts
• Prevent the entry of bad data
• Improve customer loyalty and retention
• Lower the cost of marketing, service or sales
• Collaborate accurately with departments or vendors
• Recognize new revenue opportunities |
• Pre-packaged rules for faster implementation
• Service-oriented architecture: J2EE, Java, XML
• Intuitive point-and-click interface designed for the business user
• Shows how your data will change before changes are made
• “Always on” solution cleans data continuously, in real time
• Automatically merge duplicate records |
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DQ*Plus cleans and
consolidates customer records in Siebel, Oracle, DB2 and
SQL Server
For Siebel database cleaning, Oracle database cleaning,
SQL Server database cleaning and DB2 database cleaning,
DQ*Plus takes bad data and returns clean and accurate
data (domestic and international). In terms of database
consolidation, DQ*Plus automatically
identifies and merges duplicate records while preserving
the best data from each record.
Quick to Implement, Easy to
Configure
DQ*Plus was built for the business user and implements
in hours, not weeks or months. With DQ*Plus there are no
more implementation headaches.
Service-Oriented Architecture
DQ*Plus is a 100% pure Java application that runs on the
J2EE platform. DQ*Plus has been proven on some of the
highest volume and most complex systems. DQ*Plus
provides a Web Services API that can be used to embed DQ*Plus
functionality in custom applications and system
integrations.

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Data Quality Tools online chat and email, that answers customers questions
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Free
demonstration
To see the power of DQ*Plus for database consolidation
as well as Siebel database cleaning, Oracle database
cleaning, SQL Server database cleaning and DB2 database
cleaning,
Start here.
“10 Questions to Ask When Evaluating a Data
Quality Solution”
Download this white paper
The high volume data cleaning application
"We had tens of millions of records coupled with very
complex business requirements. The unparalled
performance of DQ*Plus and the deep domain expertise...
were crucial to achieving our business goals."
Helen Beran, Enterprise Data Systems Director, Intuit
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