Great Applications of Data Science Today

Data science is a multidisciplinary field which focuses on finding valuable information in big, unstructured data sets which are in a raw format. This is done to find patterns and discover insights. It focuses on finding answers for problems in areas that are unknown and unforeseen. There are many applications of data science which have quite a huge impact on man’s life in the present. Following are the few applications which are common in today’s world and also a few advanced applications which are yet to come in the future.


There are many search engines used by people all over the world. Some of them are, Google, Yahoo, Bing, Ask, AOL etc. These search engines utilize data science algorithms to provide the user with the best results available for the query which was searched, in a matter of seconds. Thanks to data science, Google is able to process more than 22 petabytes of data everyday.


It plays an important role in digital advertisements as much as it does in internet search. The display of attractive and colorful digital banners on many websites, digital billboards at railway stations and airports, malls, theatres etc., all fall under the digital advertising spectrum. This is one of the main reasons why digital advertisements get more Click Through Rate (CTR) than the traditional advertisements. The advertisements are targeted based on the likes, dislikes or behavioral patterns of a user.


Recommendations add plenty of user experience. The best example is Online shopping. While shopping on an online shopping platform, the user can find similar or relevant products from millions of products available on that particular platform. It plays a major role by studying the previous search results of a user and providing recommendations which matches with that particular user’s interest. Amazon, Netflix, LinkedIn, Twitter, etc., are some of the internet giants which utilize this system to improve user experience.


Typing out long messages or mails can be tedious. With speech recognition, a user can speak out the message which is to be sent. This will be converted to text. Cortana, Siri and Google voice are some of the best examples of speech recognition products in today’s world. With data science, the product can learn the accent of the user which will increase the accuracy. This will in turn provide better performance. With the help of data science, making notes, sending mails and setting reminders can be done effortlessly.


Many airline companies began using data science to find strategic ideas and areas where they can improve, and by doing so, the companies do not have to struggle to sustain their occupancy ratio & operating profits. By using data science, the airline companies can detect flight delays. Finding out the most economic choice between transit flight or direct flight can also be accomplished using data science. With hike in air-fuel prices and big discounts on air tickets, data science has become a major requirement among the airline companies.

Source by Shalini M

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