Any organization's data contains valuable information
that organization needs in order to conduct business, whether
it is managing customers and products, managing operations, evaluating
corporate performance, or providing business intelligence. Data is high quality when it is up-to-date, complete, accurate,
and easy to use. Depending on your organizational goals, high quality
data can mean any of the following items:
- Your customer records do not include duplicate records for the
same person.
- Your inventory records do not include duplicates for the same
materials.
- Your vendor records do not include vendors you no longer use or
suppliers no longer in business.
- You can be confident that Paul Allen and Allen Paul are records
for two different customers, not the result of a data entry mistake.
- Your employees can find the data they need when they need it.
Confident that they are working with high quality data, they do not
need to create their own individual version of a database.
IBM® InfoSphere® QualityStage™ provides
a methodology and development environment for cleansing and improving
data quality for any domain. InfoSphere QualityStage helps
you deliver and maintain data quality so that your organization can
rely upon its corporate data investment.Whether your organization is transitioning from one or more information
systems to another, upgrading its organization and its processes,
or integrating and leveraging information across the enterprise, your
goal is to determine the requirements and structure of the data that
will address the organizational goal. Data that is restructured to
conform to these new requirements is called cleansed data (sometimes
referred to generally as data re-engineering).