Designing Data Governance With DAMA DMBOK Framework

Abstract

The vitality of data in aiding companies to fulfill their organizational objectives is paramount,  as  it  can  shape  decisions  across  a  variety  of  business  operations.  Often, corporations overlook the significance of data management, which in fact demands serious consideration. Two key issues that are frequently neglected include the hazy assignment of data responsibilities and the lack of robust data governance. The absence of transparency in data  sources  can  interfere  with  data  analysis  or  processing,  while  insufficient  data integration and synchronization can prolong report creation time up to three days, due to the need  to  accumulate  data  from  diverse  sources.  Furthermore,  the  use  of  Enterprise Architecture and Data Integration technologies has not reached its peak efficiency. To rectify these issues, it is recommended that PT XYZ adopts the DAMA DMBOK Framework for Data Governance. This would result in a well-organized and comprehensible data management structure. The procedure initiates with literature studies, progressing to plan data governance maturity evaluation activities, assessing data maturity levels using the DAMA   DMBOK,   generating   recommendations,   and   finally   planning   enhancement strategies for Data Governance in the company. The anticipated outcome of this study would be the provision of Data Governance recommendations utilizing the DAMA DMBOK framework