Business intelligence competency within an organization provides a strong framework for leveraging data science capabilities. As we build deep insights using modern machine learning algorithms, the business intelligence framework helps in bringing those insights to the right users at the right time, with the right level of access security.
A mature Business Intelligence competency also provides the necessary data foundation required for building the analytical models. It leverages the leading industry practices to build data integrity and quality, thus producing more reliable insights.
Data Science, on the other hand, brings newer capabilities, that were not possible in traditional business intelligence systems. With the help of data science, organizations can now process unstructured data like web logs etc to get newer insights. Data science can greatly simplify user interaction and help organizations build cutting edge products and services for their customers to stay ahead of the competition.
As we see data science technologies re-defining the way we do business, enterprise data architects are quickly responding, by ensuring tight integration of traditional business intelligence frameworks with the new cutting edge data science capabilities, unfortunately with varied degrees of success.