In years past, Business intelligence (BI) was something only big blue chip companies could enjoy. Mainly because employing analytics software was expensive, and it required building data centres and hiring IT specialists, who are also expensive. BI systems have, over time, become less expensive and have become a useful way of gathering corporate data and correlating that data in a way that will produce useful observations to the business.
However, times have changed. Data is getting bigger every day, in terms of volume and variety, and businesses need Data Science if they are to capitalise on market opportunities faster than their competitors. BI and Data Science are distinctively different beasts. BI systems deliver answers to the questions you know you need to ask. They are usually single systems that don’t help you to predict anything: they may help you to view the relationships of various variables, but they don’t help