It is widely recognized that organizations should start their own data journey to leverage and take advantage of its available data. However, most of the organizations do not know how to go about it since there are many factors which affect the success of fully becoming data driven organizations. Despite their efforts, many organizations are still unable to become fully data driven. In the field of management, maturity is the factor which could improve the organization in a particular aspect.

This case study looked at the possibility of using Nesta’s Data maturity module to understand the maturity level of data at the Royal Institute of Management (RIM) in Bhutan. The model uses a 7 item likert scale survey questionnaire as an instrument, which includes 34 questions pertaining to different data characteristics of which each maturity level needs to be elicited.

The results show that RIM scored very less in the survey with almost all data characteristics having an average score of less than 3. The score when translated to the level of maturity, using the model, shows that almost all the data characteristics were at “Nascent” level, two at “intermediate” and one at “basic level”.