Using Sysware Data Cleaning & Data Quality Assurance services
In many organisations the data in their source systems is often missing,
incomplete, out of date, invalid, or lacking in integrity. Intelligent
businesses have the vision to identify the different types of errors, so that
they can correct existing errors in the source data, and so that they
can put controls in place to ensure that the same problems are not
perpetuated.
Data Quality Assurance is one of the greatest challenges in the process
of data warehousing. If the knowledge generated by the data
warehouse is to be trusted, the data entered into the warehouse must
be complete and accurate - "garbage in, garbage out".
We have refined techniques for cleansing data, matching data
(especially names and addresses), and for treating "mixed-casing"
data.
We work closely with users who understand the data, as well as database
owners, to ensure that confidence in data, and confidence in business
decisions based on data, is high.
See case studies for more, or
contact us
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