As the world entered the time of massive data, the necessity for its storage also grew. it had been the most challenge and concern for the enterprise industries until 2010. the most focus was on building a framework and solutions to store data. Now when Hadoop and other frameworks have successfully solved the matter of storage, the main target has shifted to the processing of this data. Data Science is that the secret sauce here. All the ideas which you see in Hollywood sci-fi movies can actually become reality by Data Science. Data Science is the way forward for AI. Therefore, it's vital to know what's Data Science and the way can it add value to your business.

Why We Need Data Science?

Traditionally, the data that we had was mostly structured and small in size, which could be analyzed by using the simple BI tools. Unlike data in the traditional systems which was mostly structured, today most of the data is unstructured or semi-structured. Let’s have a look at the data trends in the image given below which shows that by 2020, more than 80 % of the data will be unstructured.

This data is generated from different sources like financial logs, text files, multimedia forms, sensors, and instruments. Simple BI tools aren't capable of processing this huge volume and sort of data. this is often why we'd like more complex and advanced analytical tools and algorithms for processing, analyzing, and drawing meaningful insights out of it.