| Publisher | IBM | ||
|---|---|---|---|
| Format | 74.8KB PDF | Date added | 08 May 2008 |
| Topics | Data Quality, Web Services, Service-Oriented Architecture | ||
| Downloads | 0 | ||
This is the seventh paper in a series called the "The Information Aspect of SOA Design." The purpose of this paper is to demonstrate to an architect community the execution approach of detailed data quality analysis in the context of an SOA environment. This paper focuses on the implementation of data quality analysis regardless of the specific technology in use, and will be followed by a related paper that describes in more detail how the related IBM products (WebSphere Information Analyzer) can be used in this context.
Related white papers
The Evolution of Integration
Once upon a time life and information systems were simple. Then one day somebody let Pandora out of her box. Someone said -can't we add new requirements to these systems?...
The Role of Open Source Data Integration
This free-to-download whitepaper looks at how Enterprise customers are demanding project]sized data integration tools that can be scaled up to enterprise use. They donft want complex, expensive DI products that...
The new information agenda:Do you have one?
The lack of trusted information information that is accurate, timely and relevant is on the minds of CEOs and senior executives around the world. a paradigm shift from siloed...
MSC Industrial Direct- customer case study
"Following a company merger, MSC Industrial Direct Co. found that duplicate customer records were disrupting the business workflow and causing sales compensation issues. MSC Industrial Direct Co. implemented the Pitney Bowes Business...
Turning customer interaction into profitable relationships
Effective customer communications boost customer loyalty, ensure brand and regulatory compliance, reduce environmental impact and help control a range of costs - through IT maintenance, printing, call centre operations and...
Customer Data Quality Platform from Pitney Bowes Business Insight - a Butler Group Technology Audit report
Pitney Bowes Customer Data Quality Platform (CDQP) is a domain-specific customer data quality management system that enables tasks such as integration, cleansing, matching, profiling, monitoring, and enriching the data with...
Data Quality Considerations for a Master Data Management Structure
Companies acquiring companies. Human Resources sharing information with Finance. Businesses spanning multiple countries. What do all of these scenarios have in common? The sharing of data. What is the critical...



