Best practices for adopting agility in Business Intelligence

Abstract

Increasingly competitive market scenarios and IT field are persistently pushing enter-prises to adopt agile Business practices. The practices which can maintain competitive edge. Nowadays, enterprises are constantly frazzled due to non-responding BI systems and poor data quality. Continuously changing customer-driven requirements and emerging technologies are pushing to adopt agile work-environment. The aim of thesis is to find out the best practices for adopting agility in Business Intelli-gence. Business intelligence includes the application, infrastructure and methodologies that enable organizations to improve and optimize decision and performance through data-analysis. This report contains three parts. The theoretical part covers all the theory required for the understanding the agile BI and the differences between traditional and Agile BI. The empirical part is composed of interviews and the organizational research. The thesis started with reading books, academic journals and researches. The prac-tices listed in this report are developed by leading organizations as well as the methods listed by experts. The result of this thesis were principles and methods best suited for adopting agility in BI. The empirical research can be used by organizations and individuals looking for adopting agility.