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Here is an incidence which took me by surprise, some time back:
About a year back, we were expecting a baby in some time and had decided to have the baby in our native place – so I was shuttling between the two cities Gurgaon, where I work and Indore – where we were planning to have the baby.
My wife was already in Indore for a few days. In order to make sure that I don’t miss out to capture any moment of the grand event, I bought a brand new, top of the line Android phone. Google had shipped a new app called “Google Now” along with this phone. When I opened the app, it looked just like a new interface to the Google Search.
I had assumed that this would be one of the apps you get with your phone, but never use! They just lie on your phone as they are shipped with the hardware. But Google had some other plans!
Exactly 7 days after I had started the app (and almost forgot about it), I received a notification on my phone that I am 30 minutes away from my home and the traffic is heavy! I was shocked, amused, scared and excited at the same time.
The normal human inside me was scared due to loss of privacy, which happened in the subtle manner and the analyst in me was excited by the feat Google had achieved!
Over the next few days, Google Now had trained itself to understand which sites I browse regularly (and updated me whenever there was a new content on these sites), which restaurants I like to visit, the bills I need to pay and my commuting pattern in both the cities. Today, Google Now would be one of the most used app on my mobile and I am in love with another product Google has created!
How does all of this relate to this article? Well, it just showcases what could be achieved by combining 2 of the hottest technologies in the world today – Big Data and Predictive Analytics. Let us understand how Big Data enabled with Predictive modelling is changing the way organizations are interacting with their customers.
Traditionally, analysts used to work on samples of population and not the entire population. This was because of multiple reasons, including availability of data as well as the limitations of available data infrastructure and tools.
Now, with explosion in data generation (mobile, wearable tech, logs on internet, social media) and Big data tools and techniques, these are no longer a limitation. Analysts can now analyse information at a far more granular level, enabling personalized recommendations like never before. This is the reason why Google is able to suggest me the websites I might like based on what I have searched recently or the restaurant I might like as soon as I land in a new city!
Experts estimate that more than 80% of the data which is generated is unstructured in nature. We used to almost ignore this data till a few years back, including data sources like our notes, social media activities, telephone conversations and chats over internet. Today all of this can be analysed to bring out insights in real time and customizations at a personal level. The way you like and comment on various posts on Facebook enables them to show the most relevant information and advertisement to you! There has been a dramatic increase in variety and veracity of data being analysed in the last few years.
Even if a person (or an organization) manages to get the data about his customers, it is very difficult for them to analyse it without making a huge investment in the required infrastructure. Today, you can rent a server on the cloud and pay only on the basis of data you have analysed! This has made building predictive models on big data easier and far more accessible.
It is difficult to list every possible benefit here. But here are the key ones:
Hopefully, this article has piqued your interest in Big Data and predictive modelling. As I mentioned, they are two of the hottest technologies across the globe and are changing the way business decisions are happening in big organizations or start-ups alike.
Got a question for us? Mention them in the comments section and we will get back to you.
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