Applying Data Governance using DAMA-DMBOK 2 Framework: The Case for Human Capital Management Operations

Technological developments encourage organizations to change the way they work. The function of Human Resources management or now known as Human Capital (HC) has also developed. Decision making, which was usually based on intuition alone, now relies heavily on the use of data especially with the emergence of data analytics for HC which many calls it People Analytics. In building an effective People Analytics, the need for data governance becomes important as data is the main source of information for analysis. The intense use of data becomes a challenge for companies, especially in terms of governance. The DAMA-DMBOK 2 data governance framework model which focuses on 10 data management functions was chosen as it can be adapted to HC context. Each of the management functions within the framework were adopted into several focuses on data management in the context of HC. In applying the concept of data governance, a hierarchy model for data governance operations was chosen as it serves as a guideline for cascading process that covers from the top level into the most basic level of data governance practices. HC data governance was applied using the modified DAMA-DMBOK 2 and can be felt into several levels. However, the limitation of using DAMA-DMBOK 2 framework is that it only focuses on data management focusing on HC, and the framework proposed in this paper is designed for large established companies.