1. SADANANDAM M - Associate professor, Department of CSE, KU college of Engineering and Technology, Warangal, TS.
2. SRILEKHA A - Student , Department of CSE, KU college of Engineering and Technology, Warangal, TS.
3. SHIVAPRASAD S - Assistant Professor, School of CS&AI, SR University, Warangal, TS.
4. ARCHANA T - Assistant Professor, Department of CSE, KU College of Engineering and Technology, Warangal, TS.
As a result of this, the requirement for self-service data analytics cannot be avoided. A process-centric strategy and self-service components that are visualized are recommended in this study in order to fulfill current company objectives. Components such as the map, the flow, and the control model are also explored. The three basic components are outlined below, in alphabetical order. On the basis of these components, a self-service analytics framework is also discussed. Authors have deployed components of the framework to different locations and studied them in depth in this study. The acquired results revealed a considerable improvement in the amount of time IT departments had to spend on data warehouse operations compared to the typical BI design.
Extraction, Transformation and Loading (ETL), Business Intelligence (BI), Process-centric collaboration, Self-service data analytic, Operational Data Store (ODS)