Abstract
AbstractA big data analytics (BDA) platform is a vital investment that may major impact a company's competitiveness and performance in the future. Based on the analytic hierarchy approach (AHP), this study offers a thorough methodology for identifying an appropriate BDA platform. The framework may be used to create BDA selection objectives in a systematic way to support an organization's business goals and strategies, identify important traits, and offer a consistent evaluation standard for group decision-making. Simpleness, rationality, comprehensibility, excellent computing efficiency, and the ability to assess each alternative's relative performance in a simple mathematical form are all characteristics of the AHP techniques. The model is tested by comparing seven BDA platforms.KeywordsBig dataPlatform selectionDecision-makingAnalytical Hierarchy Process (AHP)
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