Solutions

Data Quality

Increase the value of customer relationships with a solid foundation of data quality

Poor quality data does more than negatively impact your company's reputation. According to a 2002 report published by The Data Warehousing Institute, "poor quality customer data costs U.S. business a staggering $611 billion a year in postage, printing, and staff overhead." And it's not just money being lost. Poor data quality results in lost customers, lost repeat business, lost opportunities to cross-sell or up-sell potential or current customers, and bad decision making based on poor quality or incorrect data.

Now you can enhance data quality within your operational and business intelligence applications and increase the value of your customer relationships, with integrated data quality and enrichment technologies from Pitney Bowes Software. From business geographics to document composition, tax jurisdiction assignment to electronic document management, you can quickly and easily leverage our service oriented architecture and industry-leading data quality solutions to help you:

  • Verify and correct address data for more than 220 countries worldwide.
  • Gain a single, integrated view of customers, as well as the products and services they utilize.
  • Match, consolidate and standardize duplicate records via manual or automatic modes of operation.
  • Merge new data into existing records automatically-without disrupting your workflow.
  • Eliminate returned mail and increase cross sell with reliable and information.
  • Integrate location intelligence with current business intelligence architecture
  • Meet regulatory reporting requirements

Learn more about the Pitney Bowes Software solutions for Data Quality & Enrichment, including the Spectrum™ Technology Platform, Spectrum Technology Platform Modules, and Composite Application Data Services, or contact us today to discuss your needs.

Reap the benefits of rich, more accurate customer data

Optimize the quality of your customer, vendor and partner records so that you can improve operations across the enterprise. Target communications, eliminate returned mail and increase cross sell with reliable, robust and secure information. The Spectrum Technology Platform gives you the ability to identify, manage and merge business records to strengthen relationships with customer and prospects alike.
Learn more about the Spectrum Technology Platform
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Add powerful functionality with flexible Spectrum Technology Platform modules

The Spectrum Technology Platform combines leading-edge data quality functions in a single dataflow environment, with optional modules for enhanced data integration and transformation. Featuring sophisticated parsing, standardization, data matching algorithms, geocoding, tax assignment and advanced address validation tools, these modules work together seamlessly with the Spectrum Technology Platform so you can unify account data, eliminate redundancies, link members of the same household, and expand your customer knowledge.
Learn more about the transformation modules for the Spectrum Technology Platform
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Unlock enterprise data with pre-built data services

Gain real-time access to rich, cleansed customer information and other enterprise data with Composite Application Data Services for the Spectrum Technology Platform. Data Services provide the ability to rapidly access and federate information that is often difficult to reach, such as master data and operational data from popular packaged applications including Siebel, SAP, Oracle EBS, Salesforce, and other similar enterprise systems.
Learn more about Composite Application Data Services
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White Paper: Data Quality - The Foundation of Operational Effectiveness

Often, a major problem that could otherwise have been avoided or minimized is the catalyst for the recognition of the importance of data quality. All of your operational and analytical business processes rely on your data foundation, whether these processes are used to improve customer relationships, gain additional leverage with suppliers, identify or prevent fraud, minimize expenses associated with mailing costs, or meet regulatory reporting requirements. Learn how to establish and maintain a solid data foundation with this informative white paper.
Download the Data Quality white paper now
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