Friday, May 30, 2014

Big Data and Analytics? What is it and who really cares?



What is Big Data?
To begin with what exactly is Big Data? Well it's not as complicated as one may think it's actually just that, Big Data or very large amounts of data collected for an organization. Now when I say Big Date I mean literally any event that can be captured in an organization. Put it this way, imagine at US Airways every ticket purchased, every phone call made to customer service, every login onto US Airways.com or usage on the app, every time you fly you scan your ticket, you check your bag, if you register a complaint via email, text or even through social media (such as Facebook, Twitter, etc). Even the old fashioned way communicating in person to customer service or on the phone with them you’ve just initiated some data the organization can capture. Now think of how many events a large organization can have in a single day, (especially on days when things go wrong like when Jetblue shut down operations in 2007 stranding thousands of passengers in a major snow storm in and start piling it up). The amount of data can be overwhelming which is probably why the term Big Data came about it’s literally Big Data.
Taken from Charlotte this is the same storm that shut JetBlue down. (photo credit to Brendt Hanson)
















What is it used for?
Once you have all this data collected and thanks to great technology such as IBM’s Watson (a new supercomputer) it can be analyzed to do many things. It can be used to predict buying behavior, develop new products, and customize ads directed to you. Businesses are now deploying it ever more increasingly to acquire new customers, retain existing ones thus growing the business. Does a business ever read those complaints (surveys, emails, texts) you submit? Maybe, maybe not; but this is another example where the technology is used to process all the information to come up with improvements or find out what the customer cares about most to ensure they get that right. Have you ever heard of House of Cards the hit show on Netflix? According to webopedia.com Big Data Analytics were used to analyze its subscriber data to come up with the essential ingredients to make the hit show and bring back Arrested Development from the cancelled show realm. Again this is more on the business side of things but it’s even allowed researchers to decode the human DNA and predict where terrorists plan to attack so it has major ramifications in the scientific community as well as security and safety for the general public. Looking at the wide array of uses already identified from analyzing Big Data, just imagine what else we can do with it we haven’t even thought of the questions to ask yet.

What to expect? 
This is the first in a series of 4 blogs to be posted on the topic Big Data and Analytics in which we will cover many other areas including security, recent developments to big data, and in closing the predictions of big data analytics and where it is expected to go in the future. I hope you enjoy the topic and information covered in this and the blogs to come and please feel free to leave comments on this posting and future posts.

2 comments:

  1. This is really informative about big data and analysis. I had no idea that House of Cards used this technology to get subscriber data from Netflix. I hope more supercomputers, like Watson, become readily available to the public so we can all have the processing system and speed!

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  2. This post was helpful as I've heard the term 'big data' thrown around but never really understood it. It also made me realizze that the scope of big data is large, very large. The amount of things that can be considered big data is wide and many. Thinking back to Edward Snowden, when he released info about the NSA collecting metadata from phone calls, info from citizens Facebook accounts, Gmail inboxes, and etc that was a spot-on but unfortunate example of big data collection. I like your point about Netflix how they used big data to cook up the House of Cards show. A more obvious example would how Netflix tailors recommendations based off of what the user watches. The way I see it for better (Netflix analytics) or worse, (big brother keeping tabs) role of big data and how it affects are lives will continue to grow.
    -Matthew Donadio

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