Featured White Paper
Data Quality and Data Integration, The Keys for Successful Data Warehousing
Offers insights into how data quality and data integration best practices can optimize data warehousing success
Featured Case Study
WellPoint Inc. Speeds Response Time with StreamWeaver®
Read how the WellPoint Inc. health benefits company used StreamWeaver® to respond to business users’ requests in hours or days instead of weeks.
Featured Demo
Customer Data Quality Solution for SAP
View a Macromedia Flash (1.67Mb) demonstration of our Customer Data Quality solution for SAP.
Professional Services
Companies around the world are demanding a “Single Customer View” to facilitate their organizations’ customer-centric growth strategies. Pitney Bowes Group 1 Software’s Customer Data Quality solutions help businesses maximize the return from their customer-focused applications. Our Consultants offer expertise in identifying the business impact of multiple instances of a single customer entity within your company.
The methodology followed for a typical Customer Data Quality effort covers nine key steps:
- Define the Scope of Effort
- Assess Current Customer Data Quality
- Set Goals for Customer Data
- Define Metrics for Measuring Customer Data Quality
- Execute Gap Analysis between Current Status and Identified Goals
- Prepare an Action Plan
- Implement the Plan
- Measure Results
- Provide System to Monitor Continuity
Professional Services packages that may help you get started with Customer Data Quality efforts include:
- Data Quality Assessment
- Customer Data Integration Assessment
Learn more about our approach to Professional Services.