The information age is characterised by the presence and prominence of big data. The incessant buzz about big data technologies that the first part of this decade was immersed in was a legit one.But we are in 2018 and big data is just a mundane everyday reality. It is like air for industries, they cannot seem to survive without it.

Let us look at three industries which have nothing to do with each other and yet have one common factor – the extensive usage of big data analytics. Our little peek should help you understand how important it really has become and also why it is time for you to get enrolled for big data training.

The entertainment industry is leveraging data to improve customer engagement

Do you love binge watching TV serials on Netflix or say Amazon, or may be watching random videos on facebook? Have you noticed that you always find something you love waiting for you to be watched? If yes, you have seen the magic of big data analytics. Your every move online creates data about you. Your movie preferences; the kind of music you like; the time of the day when you love watching stuff, everything is on record. That is how big data is used for profiling. And that is how you receive personalized entertainment.

Big data has taken the music industry to a whole new level of possibilities. The music portals use analytics to create most suitable playlists for you. From the business point of view big data is being used to improve marketing and to decrease the cost of publishing and licensing.

The Pharmaceutical industry is clinically dependent on big data analytics

You can easily point out three areas where the pharmaceutical industry can rise sky high with the help of big data.

• Drug discovery: Hours of manual research needed for drug discovery can be saved with the help of big data analytics and machine learning. It often occurs that certain life-saving drugs are not produced because of overwhelming costs of discovery and manufacturing. Machine learning algorithms can spare the scientists from hundreds of hours of testing thus decreasing the cost.
• Protein-drug interaction: Recognizing the interactive patterns between drugs and proteins is an important and extremely time consuming aspect of testing a drug. This task can be greatly catalyzed with the help of big data analytics.
• Drug manufacturing: Big data analytics can provide a better idea of the market to the manufacturers thus ensuring their profits while lowering the cost for the consumers.

The travel biz is currently blind without big data

Thanks to all the online travel portals we can now plan a world trip solely from our smartphones. This involves taking end number of components in the same loop. Flights, car rentals, hotels, and of course, millions of tourists who interact on the same platform with AI driven chat bots. Robust real time data management and big data analysis is required to keep the systems up and running. Also, like every other service analysing consumer behavior is of essence for travel portals to survive the competition.

The point is that if big data is equally important for industries so different in nature, we can assume how much hold it has over the overall global commercial scenario. It is needed everywhere that is to say big data analysts are needed everywhere. That is why it might be a good time you got your big data training.