Insights from the CGMA Data Competencies Model: The Role of Data Culture to the Value Creation Process


  • Wong Kee-Luen Universiti Tunku Abdul Rahman, Kampar Campus, Malaysia.
  • Julian Teh Hong-Leong Universiti Tunku Abdul Rahman, Kampar Campus, Malaysia.
  • Ng Shwu-Shing Universiti Tunku Abdul Rahman, Kampar Campus, Malaysia.
  • Chuah Min-Hooi Universiti Tunku Abdul Rahman, Kampar Campus, Malaysia.


Business Intelligence, Big Data, Data Competencies, Value Creation,


With the emergence of the big data phenomena, the business intelligence maturity approach tends to be limiting and lacks the capability to capture and engage with the relevant variables and develop into a theoretical framework to explain the big data economy. The concept of data competencies proposed by Chartered Global Management Accountants (CGMA) was thought to be a more comprehensive alternative framework to explore the phenomena. The four types of data competencies, namely, data culture, data management, data analytics and value creation were used to construct the conceptual framework to understand and explain the big data initiative implementation process. It was found that data culture tends to moderate the data management-data analytics relationship. In addition, data analytics appears to partially mediate the impact of data management on value creation. The implications of these findings confirm that data culture is the essential foundation to the value creation process.


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How to Cite

Kee-Luen, W., Hong-Leong, J. T., Shwu-Shing, N., & Min-Hooi, C. (2018). Insights from the CGMA Data Competencies Model: The Role of Data Culture to the Value Creation Process. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-4), 187–192. Retrieved from