KNOWLEDGE MANAGEMENT AND DATA GOVERNANCE: ANALYSIS OF CORRELATABLE ELEMENTS

Abstract

Knowledge Management and Data Governance are important topics to be considered by contemporary companies operating in highly competitive environments. This is because both are fundamental for creating value through data exploitation for the creation and application of knowledge aimed at developing sustainable competitive advantages. This research aims to identify the main correlatable dimensions between the APO Knowledge Management model and the DAMA-DMBOK2 data governance framework. In order to acchive this goal, a qualitative and exploratory research was conducted based on a literature review, documentary research, and the application of cross-mapping analysis using the cosine similarity method to identify similarity between the six dimensions of the APO model and the ten dimensions of the DAMA-DMBOK2 framework. The main results indicate that the ten dimensions of the DAMA-DMBOK2 Data Governance framework correlate 47 times with the six dimensions of the APO knowledge management model. In particular, the dimensions ‘vision and mission,’ ‘accelerators,’ ‘capabilities,’ and ‘results’ of the APO model show a high degree of correlation with the dimensions of DAMA-DMBOK2, to the detriment of the ‘learning and innovation’ dimension, which has low correlation. Thus, it is concluded that the mapping now established proves and highlights the specific correlations existing between Knowledge Management and Data Governance, in addition to enabling professionals and company managers to lead company projects on both fronts in a more cohesive way.