Featured White Paper
Data Quality Management Considerations in Master Data Management Structures
Learn about the continued intransigence of corporate data quality problems and how such data quality issues can be resolved within the MDM and CDI implementation context.
Featured Case Study
Be MUSIC Direct Unlocks Productivity Gains with StreamWeaver®
Read how Be MUSIC Direct, formerly BMG Music, used StreamWeaver® to sort, separate and sequence orders for their automated Gantry fulfillment system.
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.