Why Big Data Is Just Hype!
Bernard Marr
?? Internationally Best-selling #Author?? #KeynoteSpeaker?? #Futurist?? #Business, #Tech & #Strategy Advisor
From time to time, you still come across someone with the opinion that Big Data is nothing more than a fad, which will be forgotten about soon enough.
You might not expect to hear this from me, but they’re actually right. Well – half right, at least!
As I’ve written before, I’m not actually a fan of the term “Big Data”, which puts overemphasis on the importance of size. Anyone who’s been reading my articles for a while will know that I’m firmly of the opinion that what you do with your data, is far more important than how big it is.
And I am sure as more people realize this – as working with extremely large datasets increasingly becomes the norm, rather than something new and exciting – the term “Big Data” may indeed fall out of use.
The fact is, Big Data isn’t something which has appeared overnight. Ever since we invented digital data storage in the 60s, the amount of data we have been dealing with has increased exponentially with time.
Even before that, if you really want to go right back to the beginning, ancient civilizations strove to horde as much knowledge as they could in great libraries.
Our urge and ability to collate and analyze information seems to have always been something which has distinguished us from other animals, and it isn’t going to leave us any time soon.
So the value of information, which is based on data, has always been apparent. However during the last half-century we certainly experienced a rapid acceleration in our capacity to both store larger amounts of data and analyze it in smarter ways. First with the encroachment of digital storage and microprocessors into every aspect of society, then with the Internet and smart phones and now, wearables.
No doubt, there is a lot of hype around Big Data. Big names and brands which have emerged onto the market have profited from this, pushing their own ideas of what Big Data means and how you should go about it.
Wherever you find hype, you find hot air. This is particularly true in the tech world where those who get on board first stand to make huge amounts of money. Not everything that emerges in the early days of something as game-changing as the “Big Data revolution” will stand the test of time.
I assume most of my readers are probably old enough to remember the final decade of the last century, when the internet really got popular.
Those of us who had grown up using computers realized immediately how revolutionary it was going to be – that in fact, nothing would ever be the same again. But pundits from outside of the tech world – somewhat wary of the grandiose claims being made – continued for a long time to insist that it was a passing fad.
Many saw the bursting of the dot-com bubble as validation of that belief. But, although a lot of people lost a lot of money, the internet, as we all know, endured.
In the digital age, other terms have risen in popularity only to drop into disuse as the principles they represent become adopted into everyday business use. They’re just adopted into everyday business life to the extent that we don’t need specific names for them any more. Or ideas behind them are rolled up into newer buzzwords. The big data buzzword has definitely swallowed up most aspects of previous buzz terms like management information systems, business intelligence, or analytics.
So, while in 10 years’ time the terminology might have changed, we will still be talking about data, and analysis, and the juicy insights we get when we mix them together.
So when someone tells me that “Big Data is just a fad”, I agree with them on the fact that soon we won’t need the label any more. However, data strategy, collection, storage and analysis are here to stay. As will be the businesses which are savvy enough to use it to strike while the iron is hot.
As always, let me know your thoughts on the topic, please share them in the comments below.
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Developing and delivering knowledge based automated decisioning solutions for the Industrial and Agricultural spaces.
8 年Amen
Solutions Architect at Philips
8 年Good article... What we do with what we have matters the most. It is like intelligence without further course of action.
Well said Josh.
Business Intelligence Consultant , Government of Alberta
8 年"Big Data" = "Big Hype". Using this term gives one an aura of importance, though. :)
Salonplaudereien, malizi?se Fu?noten und anderweitige Marginalien zur lustvollen Erbauung
8 年Bernard, thanks for the article. However, my perception of the "Big-Data"-theme, is somewhat different. In my opinion, people too often refer to big data as a stochastic phenomena only. Statistical data will always generate information of measurable uncertainty. Yet this does not cover all of the big data universe: There is the large field of technical data from technical systems (operation, condition etc.). These are the deterministic systems. Analysis of their data generates information of great certainty, for there is a cause to every effect. Which we find in the data to generate an empirical black box model. These dynamic time data can be analyzed automatically by machine learning (for which we built the machines and design the projects). The result is a quite a precise mathematical model ... going along nicely with optimization potential and value increase for production (increase of plant yield, reduction of scrap, prognosis of failure and so on). So, things don't seem to be as bad after all ... :-)