As we know, data is doubling every two years. Various statistical analyses predict that by 2020 we would have 44Million Zeta bytes of data (i.e. 44 trillion gigabytes). But it is not the amount of data that is important but how we look at it and use it effectively; also, how organizations use it for their benefit is where the whole point lies.
What are we actually doing with all this data? Why analysis of data in terms of Data science and Analytics is getting so popular? Having information at the heart of business, startups and organizations are using relevant data to assess their stature and forecast the future of their domain. But it’s pretty interesting to know that entertainment, social media and retail portals use this data for entirely different purpose.
They are using data not only to analyze and make decisions but also to improve the experience while using an application. This is something that benefits that company and user as well. Is it only benefiting to the user!?
To talk about YouTube or Netflix in specific they are international providers of internet streaming videos.In layman terms it provides users with movies, series, TV shows for online viewing. The main reason for bringing in the concept of online television is the ‘choice’. Nostalgia strikes me! I still do remember those days when I fought for remote and bothered my dad by switching the channels to Pogo and Cartoon Network while he was very keen in watching the Breaking News. At present, these portals have given us so many options! We can decide what to watch? When? Where? Why?
But humans are impatient and bad at making decisions when provided with surplus options and that is when an effective and carefully curated recommendation system steps in. We all might have been amazed by looking at the feed which suggests you with everything that is aligned with your interest to watch! How is that even possible?
The organization have perfect blend of technology into each of their modules and this smart recommendation system adopted by them consists of a number of algorithms that are beautifully arranged to work together and create something that is aligned with users likes and interests. This is not only capable of predicting what you would want to watch, but also presenting it in a dynamic way that changes with respect to time.
What helps these entertainment platforms win? Of course, the recommendation algorithm! It basically works in such a way that it tracks your searches to understand your interests. It keeps an eye on when, where and how long you use the application. The data collected and analyzed so descriptive that it tells the company all about you… Infact, The applications you install knows so much about you than you imagine.
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