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Quality control is built into ASI’s project management, process outsourcing and data maintenance service programs, but it is always necessary to check and document that acceptable quality limits are met on a consistent basis. As part of its data services practice, ASI strives to integrate findings from process QA tests back into the overall process workflow following the principles of total quality management.

Total quality management is rooted in the belief that continuous process improvements, designed and built based on measurable process statistics, eventually eliminate the sources of errors, and thus eliminate the need to correct them. ASI practices total quality management and implements continuous process improvements on every data services project or outsourcing program that it undertakes. These process improvements typically result in significant cost savings through profound increases in productivity, efficiency and quality.

ASI designs tests to check either complete datasets or randomly sampled populations of datasets. ASI structures its customized test programs based on process requirements and a needs analysis, and the nature of the tests, the size of the samples and the analysis of the results will meet specific process needs and project goals. Often a process will reach a point where additional improvements cannot be cost justified based on their potential return. As processes reach this mature stage, the quality assurance systems will function to monitor the process and its various outputs to ensure that unforeseen issues with source data or software systems do not derail the process and create quality issues.