From the dawn of human civilization, we are generating data but as we evolved through historical timelines, two things happened: Firstly, humans around the world got connected thereby increasing the permutations and combinations of generating data. Secondly, and more importantly, we now also have the technology to capture, store, theorize, implement and predict the data!
The amount of data we currently produce every day is probably as incomprehensible as the size of the universe and with the advent of IOT devices, the speed in which we are creating it is only accelerating!
We are creating both structured and unstructured data like metadata, health records, audio, video, analog data, images, files, and unstructured text such as the body of an e-mail message, Web page, or word-processor document.
But what good is all this data, if it is of no use to humans? Enter Data Science and the Data Scientist.
Data Science is the process of collecting, storing, processing, describing and modelling data. It can be some of these tasks or all of them.
And the Data Scientist is responsible for each of these steps to make sense of raw data which can either be used to provide insights and therefore take appropriate business decisions or use it to model algorithms to solve complex and flexible problems.
So to conclude, Data was always there. We have now just found how to make good use of it using Data Science and Data Scientists!