It’s a normal day, you go through your social media for a couple of hours, you get on Google Maps to see how long you’ll take to get to work, and, when you get home, you put on your favorite series. What you may never have stopped to think about is that all these actions have one thing in common: Big Data. The mass analysis of data is much more present in your life than you might imagine.
Game of Thrones, House of Cards, or Narcos are some examples of how Big Data has helped our favorite series achieve success. By analyzing millions of data, Netflix or HBO can know what we’re going to like before it’s even launched. The success of House of Cards is due to, in great measure, the historical analysis of user interactions on Netflix. Do you know how HBO foresaw the success of Game of Thrones? Through the analysis of illegal episode downloads.
Streaming platforms aren’t the only ones that use Big Data to generate content. Marvel, for example, by analyzing the behavior of its users, identifies what storylines are preferred and which characters are more attractive. By using this information it creates series, movies, and videogames.
Big Data: not only in the world of entertainment.
It’s not only in the entertainment industry where Big Data makes its presence felt. Have you ever asked yourself how Google Maps knows how long you’ll take to get somewhere? Mass analysis of data is the answer. The application collects information on aspects such as traffic, meteorology, or anonymous GPS data from connected mobiles. Performing a data analysis of real time and old data, Google Maps shows you the optimal route for your journey.
What about Social Media? What do they have to do with all this? Facebook, Instagram, or Twitter analyze your publications, your interactions, and the pages you visit on a daily basis. Combining this information with the rest of platform users they’re able to create patterns so you get the best experience possible. How? For example, showing you the information you find most important first, or, personalizing the advertisements the platform shows you.
At Repsol, we also use Big Data to improve people’s lives and our processes. For example, by optimizing our subsurface activities through the mass analysis of data, or by creating personalized and adapted offers that satisfy our users preferences on the Waylet application.
As you can see, Big Data has been present in your day-to-day lives for a long time. And we can guarantee, it’s here to stay.