Research on Data Governance for Maximizing Enterprise Efficiency

Abstract

In an era where organizations are increasingly relying on data to perform their business, the ability of different companies to manage and analyze data will have a significant impact on their efficiency. In this paper, we develop a model to measure the current level of maturity of ICM's data and analytics (D&A) systems and optimize it to maximize the potential of its data assets. Based on the three critical components of personnel, technology, and process, we take ICM requirements as the starting point. After comprehensively considering the current situation of the industry and enterprise needs, an indicator system is built to measure the D&A system. Then, it is used AHP-CRITIC subjective and objective comprehensive empowerment, which determines the weight of each index accordingly. It is carried out the evaluation and analysis of the maturity of the D&A system and finally concluded that the maturity of the system is 0.879, and technology is the key influencing factor. Then this paper uses the System Readiness Level Index from a technical point of view, which includes the Technology Readiness Level index to measure the technological maturity and the integration readiness of the technology integration index, which can comprehensively optimize technical indicators. To maximize the potential of digital assets, we built the SRLmax model under resource-related constraints, equipped with a business process performance management (BPM) indicator system that comprehensively considered people and process components. Finally, we passed the SRLmax-BPM model to the D&A system. After comprehensive optimization, the optimized score is 25.16% higher than the original model.