Lowering entropy of 16-bit continuous datasets to improve compression ratios: A design science research study

This dissertation presents Design Science Research (DSR) detailing the creation of a new algorithm named EntroCompactor. The computer software algorithm reduces data entropy thus increasing the file compression ratio of 16-bit continuous audio data. This increase in file compression ratio will be used to reduce the business problem of high costs associated with data storage and bandwidth. The study sets forth a conceptual framework to study the contribution of the EntroCompactor algorithm towards data storage and bandwidth cost reduction. It further provides information concerning the business problem, justification for the proposed study, and a background and description of the EntroCompactor algorithm. Descriptions of methodology to be used in the analysis of the data provide details regarding the proposed measurement plan and data analysis plan. Expected results are a reduction of data entropy in the test data that correlate with a 20% reduction in data size and a 20% reduction of information technology storage and bandwidth costs. These results were achieved, and shown in chapters 4 and 5.