It is clear that data science provides great value to all the data that we collect with Big Data but don’t know how to process, for example:
In the energy sector, applications are being made to be able to determine when and how to produce energy and where to send it, unlike previous logo and strip iterations, where you had to simply rely on data from years past when now you can look at algorithms.
Further, within the Industry and the internet of things we are going to see a huge increase in data streamed to our servers and where seamless integration between the data collected, the data analyzed and the production processes will be essential, cutting costs along the way.
Additionally, in the aerospace sector, we can optimize both ground services and air traffic. From passenger flow prediction to machine maintenance, data science is vital for the optimal organization of key resources and scales.
The healthcare industry is where we can find the use of data analytics today. As the human body produces highly correlated data and its correct interpretation plays a vital role (pun intended). In short, from hospitals to sports clubs, the need to oversee data from nature’s most perfect machine is a necessary task.