UNDERSTANDING THE RELATIONSHIP BETWEEN DATA GOVERNANCE AND BUSINESS ANALYTICS SUCCESS: A CASE STUDY OF GLOBAL CORPORATIONS

Abstract

This paper explores the relationship of data governance to the success of business analytics within multinational corporations. With a mixed-methods approach involving both quantitative and qualitative data derived from a Structural Equation Model of the data, the study has revealed the essential aspects of data governance for the success of business analytics. The data for the study was derived through a series of quantitative surveys of data governance officials and surveys sent to a total of 250 firms worldwide. The essential variables that measure the data, such as data quality management, compliance with policies, and the influence of data governance frameworks, were quantitatively measured and analyzed. The findings through the SEM analysis showed a positive relationship between data governance variables and the success of business analytics, with the regression coefficients for data quality management (β=0.42), policy compliance (β=0.36), and the influence of data governance frameworks (β=0.49), all having a significance of <0.001. The quantitative data of the study's findings were further supported and supplemented with a thorough examination of the quantitative data of the critical themes derived through a thorough analysis of the quantitative data of the study's findings derived through a thorough examination of the data of the qualitative themes of the study.