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BEYOND BUSINESS PROCESS REENGINEERING (BPR): DATA QUALITY ENGINEERING

Executive Summary/Abstract: Process improvement tools such as Six Sigma could cost organizations like GE as much as 0.4% of its revenues. Consequently, organizations must constantly evaluate the cost-effectiveness of data quality tools. This presentation finds that beyond business process reengineering (BPR), data quality engineering in the form of failure mode and effects analysis (FMEA) could be utilized as a relatively inexpensive means to address data quality issues. The portrayed system integration example shows that on one hand, BPR provides a sound method of identifying data quality problems by way of gap analysis. On the other hand, FMEA allows user prioritization of such gaps as a function of risk, which likely leads to decreasing the bias in the calculation of the costs of systems change requests (SCRs) and problem trouble reports (PTRs) and providing a clearer picture of the bottom line.