Big Data: Should we go bigger?

18

October

2017

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A week ago, I posted a blog in which I expressed some of the fears that come with the rise of big data. Now it’s not all threatening. In fact, I might have exaggerated slightly at the time of writing, in order to make my point clear. Of course, there are a lot of positive sides to Big Data, which create tremendous value for businesses and consumers alike. I will now highlight some of these advantages, and thereby provide a counter-view to my previous post.

These are only a few of the advantages of Big Data. The list of possibilities is simply too large to write down.

The value coming from Big Data originates in several ways. Big data can increase the transparency in business processes, making information more organized and usable. These processes can be further analyzed using Big Data, allowing for more well-reasoned decisions and ultimately higher performance. Big Data allows the business to target more specific groups of customers, increasing the amount of personalization. Consumers will therefore receive promotions that are more tailored to their own preferences, increasing their convenience (Manyika et. al, 2011).

Furthermore, a TED-talk by Marco Annunziata about the advantage of the Internet-Industrial revolution, in which machines inhibit properties that allow them to self-learn and analyze their problems (Annunziata, 2013). These problems being analyzed and solved automatically, while the human eye does not even notice it. As a result, we reduce the risk of unplanned downtime, optimistically to a point where we don’t have to treat risks anymore.

Reducing unplanned downtime will lead to a diminishment of costs, stress and time lost.

There are significant risks, and there are significant advantages. We can choose to only focus on the advantages of Big Data and IoT, but the risks will remain. It’s important to always stay on guard, in order to maximally utilize the advantages (Fardost, 2015).

Link to my previous blog post: http://wp.me/p7TpsB-3fg

 

References:

Annunziata, M. (2013, December 17). Welcome to the age of the industrial internet. Retrieved from https://www.youtube.com/watch?v=QBDShp6U7tU&feature=youtu.be

Fardost, A. (2015, March 18). Internet of things – beyond our current imagination. Retrieved from https://www.youtube.com/watch?v=sgMG7zRrcPk

Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Hung Byers, A. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute.

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When will Big Data be big enough?

11

October

2017

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Big Brother is watching you.

Big data is the fuel of the future: data-driven startups are the ones that will change the way we view this world (insideBIGDATA, 2017). Big data is highly valuable, that much is clear, and people are aware of it. Large businesses are continuously searching for ways to increase their revenue, making use of big data. Big data is more than just data; it is what drives the algorithms behind Artificial Intelligence. It is what allows AI to learn on its own, thereby continuously developing itself.

And it will continue to progress, year after year. The amount of data online is predicted to rise exponentially (Helbing et. al, 2017). This means that in one year from now, the total amount of data has been doubled. And the year after that, it will double again. It will transform society as we know it. There’s opportunities to be seized in this, of course. But with these opportunities comes considerable risk.

Big Brother is watching you. That’s the main theme in George Orwell’s bestseller novel “1984”. He feared for a world in which everything about us would be monitored, and the only truth is that which the government tells you.

Now, 43 years post-1984, we collectively post billions of bits of information about ourselves on social media every day. Information systems can use our online browsing and purchasing history to deduct our personal preferences. They probably know us better than we do ourselves. Our personal information is up for grabs. There are very few companies and institutions whose systems haven’t been hacked already.

Our decision-making is being influenced as well. Take a look at Google’s search engine, for instance. Companies are already able to bid on our searches to gain more favorable advertising results (WordStream Inc., 2011). Individual-level data and targeting can create a system where even politicians could manipulate our voting decisions (Helbing et. al, 2017).

Manipulation like this is only partly effective, of course. Advertisements must adhere to a plethora of rules and regulations as it stands already. And people will continue to care about and fight for their privacy. So, the comparison with “1984” is not quite accurate, yet. Nevertheless, these are some of the risks we should watch out for.

What is your stance on the effects of the digitalization of society on our privacy? Share your thoughts!

 

References:

Helbing, D., Frey, B., Gigerenzer, G., Hafen, E., Hagner, M., Hofstetter, Y., . . . Zwitter, A. (2017, February 25). Will Democracy Survive Big Data. Scientific American, 2-16. Accessed on October 11, 2017, from https://www.bsfrey.ch/articles/D_283_2017.pdf

insideBIGDATA. (2017, February 16). The Exponential Growth of Data. Accessed on October 11, 2017, from insideBIGDATA.com: https://insidebigdata.com/2017/02/16/the-exponential-growth-of-data/

Wordstream Inc. (2011). What is Google AdWords? How the AdWords Auction Works. Accessed on October 11, 2017, from WordStream.com: http://ww.wordstream.com/articles/what-is-google-adwords

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