Vague feelings of poor data quality can hamper business activity by casting doubt on the data that feeds both operational and analytical processes. Yet the absence of clearly defined measurements to demonstrate how business impacts are attributable to erred data prevents developing an appropriate business case for introducing data quality management improvement. When resources are allocated to correcting “bad data” without being able to evaluate the root causes there is no ability to objectively evaluate the relationship between poor data quality and business performance. This suggests a need for an approach that can quickly identify high priority data issues whose remediation can be justified.
The objective of Knowledge Integrity’s rapid data quality assessment is to meet this need. Relying on our many years of experience in data quality analysis techniques, Knowledge Integrity analysts can execute this assessment as well as provide training and knowledge transfer, with a rapid schedule that can be adapted to best suit the client’s needs. The resulting report will describe and prioritize clearly identified data quality issues, recommendations for remediation, and suggestions for instituting data quality inspection and control for data quality monitoring. In addition, our analysts will provide templates and train your team members so that they can perform the rapid data quality assessment on subsequent data sets.
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