  Business Intelligence and Analytics (BI&A) is the process of extracting and
predicting business-critical insights from data. Traditional BI focused on data
collection, extraction, and organization to enable efficient query processing
for deriving insights from historical data. With the rise of big data and cloud
computing, there are many challenges and opportunities for the BI. Especially
with the growing number of data sources, traditional BI\&A are evolving to
provide intelligence at different scales and perspectives - operational BI,
situational BI, self-service BI. In this survey, we review the evolution of
business intelligence systems in full scale from back-end architecture to and
front-end applications. We focus on the changes in the back-end architecture
that deals with the collection and organization of the data. We also review the
changes in the front-end applications, where analytic services and
visualization are the core components. Using a uses case from BI in Healthcare,
which is one of the most complex enterprises, we show how BI\&A will play an
important role beyond the traditional usage. The survey provides a holistic
view of Business Intelligence and Analytics for anyone interested in getting a
complete picture of the different pieces in the emerging next generation BI\&A
solutions.
