Which Of The Following Statements About Big Data Is True?
“Big data is taking over the world!” Or “We are living in the information age.” Those are two statements about big data that could have come from a book on computer sciences. But they don’t come from the authors of such books. They come from researchers at Yahoo, Google, Amazon and others.
“Big data has already won the race to excellence.” That is from an article in Fortune Magazine. It is an article written by Steve Jobs, the famous founder and CEO of Apple. What he means is that technology companies are racing to be better than each other in data-processing power and agility. They are competing not only in processing speed but also in turning large amounts of raw data into usable intelligence. And, that’s a good thing because it is only through the use of such intelligent computing machines that human beings will ever truly gain advantage.
“It is time to stop worrying about what the future holds and start imagining it.” That is an article written by Stanford professor Jennifer Greene. In it she says that while the present is full of challenges, the future still holds many opportunities. And one of the things that she is convinced of is that big data can indeed help us achieve our goals.
“Yes, the sky is the limit.” That is another one of those statements about big data that have been around for quite a while. In fact, one of the more popular lines written about this topic was written by the late Wallace Wattles. And, Wallace Wattles is a man who had a very different point of view than some of the modern leaders in big data.
“Big Data is not only interesting; it’s also very important.” This is coming from the founder of one of the biggest software companies in the world. Mark Shuttleworth is on the same page. He admits that one of the key components to success is having data that is reliable. Therefore, he thinks that creating large and robust systems using big data can be very important to overall company performance.
“It’s all a matter of marketing.” Again, this comes from the founder of one of the largest software companies in the world. Although some people might point out that there is a problem with the quality of the information, that is not their focus at this point. As such, it would appear that those are two of the more common statements about big data that are being made today.
“We can’t predict what’s going to happen next.” This is one of the more common claims about big data. While there may not be anything inherently wrong with this, it would seem that it could be made a little clearer. For example, if someone is making a claim such as “we can never predict what’s going to happen next”, it would help if they could just give you an example of a situation where they believe their predictive model was right.
Of course, none of the above are definitive answers when it comes to which of the following statements about big data is true. Predictive models and big data analytics are still relatively new techniques and science. It will likely take quite some time before we truly know what they can and cannot do for us.
“Big data is a great way to improve my business”. This is another common claim. If you go through the rest of this article, you’ll find that I don’t really support that claim one bit. Data analysis is simply not that useful for improving business. Data visualization is probably much more helpful, though.
“Picking the right predictive models will make all the difference”. There is definitely something to be said about choosing the right predictive models. However, data is not homogeneous and the same model or technique may not work well with different types of data. Therefore, in order to improve your business, you have to make sure you are using the appropriate predictive model for your specific data set. There are a number of commercially available predictive models, but none of them are really right for all types of big data.
In short, when I write a blog or write a guest post on a website, I try to highlight the potential benefits of big data and minimize the potential drawbacks. In my opinion, there really aren’t any major drawbacks. Hopefully you’ve enjoyed this article as much as I enjoyed writing it.