IBM Information Server, Version 8.1The data that drives today’s business systems often comes from a variety of sources and disparate data structures. As organizations grow, they retain old data systems and augment them with new and improved systems. Data becomes difficult to manage and use, and a clear picture of a customer, product, or buying trend can be practically impossible to ascertain.
The price of poor data is illustrated by these examples:
The source of quality issues is a lack of common standards for how to store data and an inconsistency in how the data is input. Different business operations are often very creative with the data values that they introduce into your application environments. Inconsistency across sources makes understanding relationships between critical business entities such as customers and products very difficult. In many cases, there is no reliable and persistent key that you can use across the enterprise to get all the information that is associated with a single customer or product.
Without high-quality data, strategic systems cannot match and integrate all related data to provide a complete view of the organization and the interrelationships within it. CIOs can no longer count on a return on the investments made in critical business applications. The solution calls for a product that can automatically re-engineer and match all types of customer, product, and enterprise data, in batch or at the transaction level in real time.
WebSphere® QualityStage is a data re-engineering environment that is designed to help programmers, programmer analysts, business analysts, and others cleanse and enrich data to meet business objectives and data quality management standards.
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