Governing self service analytics

AbstractThe governance of Data Consumers is a concept that is emerging in Self-Service Analytics environments. This paper provides a matrix that allows organisations to pre or post assess the relationship between Self-Service Analytics and the governance of Data Consumers. The authors used Grounded Theory methodology as the means of undertaking this research. In doing so, initial high-level concepts (Governance and Self-Service Analytics) were defined from the literature and further expanded upon through the course of the study. As a result, emerging sub-categories were identified and provided the basis of an assessment matrix for the governance of Self-Service Analytics (GOSSA). In addition, the framework also highlights four key types of governance: transitional, strategic, open, and sensitive. Moreover, as well as being a new tool for practitioners the study adds to a sparsely populated research domain.