Research on Comprehensive Evaluation of D&A System Based on BP Neural Network and Cloud Computing

Abstract

Enterprise information technology is further highly developed, and data becomes one of the strategic assets of enterprises. Scientific evaluation of D&A systems can help data assets to be useful. Therefore, this paper developed a model for evaluating D&A systems to help company executives make the right decisions. We proposed six significant indicators to evaluate the maturity of the D&A system. We built a comprehensive evaluation model combining BP neural network and AHP to evaluate the maturity of the D&A system, and the accuracy rate of the comprehensive evaluation method was 93% after testing. Then we combined the CMM model to get the current maturity of the D&A system at the third “Defined level.”