Towards a Self-service Data Analytics Framework

Abstract

The need ‎ for Self-service data analytics is inevitable as it supports the business in making the right decisions. In ‎ this paper, we argue that self-service analytics frameworks should be based on a process-centric approach and ‎ visualized self-service components in order to meet current business demands. Further, we ‎ enunciate the need for mainly three components: Map component, Process Flow component ‎ and a Control Model component. Furthermore, we explain the architecture of a self-service ‎ analytics framework based on these components. Some parts of the proposed framework were deployed to ‎ different sites and are discussed in detail in this paper. The obtained results showed a clear ‎ enhancement of data warehouse operation spent from the IT departments' side compared to ‎ the traditional BI architecture.