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Bank’s biggest weakness: drowning in data

I recently met Big Data in person.

In real life.

THE BIG DATA.

Yes, I did.

And here he is …

Screen Shot 2012-10-23 at 10.57.56

Do you recognise him?

No?

BIG DATA?

The guy.

No?

Maybe this will help you to remember.

Data-star-trek-the-next-generation-31159191-1024-768

Yes, Big Data.

The man, the legend, the person …

… ah, you thought I meant Big Data, the
idea.

Do you know where the term Big Data came
from?

According to some, the term was inspired by
Laurie Anderson’s album Big Science from 1982.

However, the term actually dates back to
World War II when the phrase Big Science was used to describe the rapid cycle of changes that occurred in scientific
disciplines during and after World War II.

A good example of this rapid cycle of
change during World War II was the invention of computing.

John W. Mauchly was a physicist working at
the Moore School of Electrical Engineering at Pennsylvania when the war began,
and he believed that an electronic computing device could be created to predict
the weather.

The idea was floated in August 1942 and, by
June 1943, funds were allocated to the project.

Unfortunately, by the time the system was
developed, the war was over.   Nevertheless, the system that was developed
(called ENIAC, the Electronic Numerical Integrator And Computer) led to the creation of the industry I have spent all my life working with –
technology and information – as well as the weather forecasting service.

Ah well, you can’t win ‘em all.

The term Big Data was first used in the late 1990s and no-one can quite put
their finger on how it came about.  It
appears to be through a combination of academic papers and META Group (now Gartner) who say that:

“Big Data are high-volume, high-velocity, and/or high-variety information
assets that require new forms of processing to enable enhanced decision making,
insight discovery and process optimization.”

Yea, yea, yea … surely it’s simpler to say
that Big Data is just this phenomenon we have today, where every person on the planet
is creating digital records such that we are drowning in data.

This is well illustrated by Google’s CEO
Eric Schmidt who stated:

“There were 5 exabytes of information created by the
entire world between the dawn of civilization and 2003. Now that same amount is
created every two days”

during a Techonomy debate in 2010.

An exabyte is a 1 with 18 zeroes after it –
or 1,000,000,000,000,000,000 bytes – an incomprehensibly large number.

Drowning in data.

Some call it a tsunami – not an appropriate
term – whilst others call it oil.  It doesn’t matter what you call it,
it’s a big amount and is illustrated by the amazing growth of unlimited
bandwidth and unlimited storage., combined with device ubiquity and cheap
chips.

 

Bandwidth-growth-2010-to-2015-640x367

 

Source: IEEE

Why is this important?

Because those who make sense of Big Data
will win.

Data is the new source of competitive warfare, and
data mining will be the weapon of mass destruction of the competition.

Many industries get this, particularly the
new tech players like Amazon, Apple, Google and Facebook.

It is the reason why banks fear these
players because these players know how to sift the data and make sense of it.

As one bank Chief Executive recently
stated: “Our peers I can handle.  We’re
in the same boat.  But if Google opens a
bank, with all their data – then we’re in big trouble.”

And you should because Eran Fiegenbaum,
Director of Security for Google Apps, has already made it clear that Google is “a bank for your data”.

And the biggest issue for a bank is one
that I’ve raised many times, but it is easiest to illustrate by just repeating
a little from an earlier blog.

If Amazon was a bank 

It
amazed me to see the back office of one of the largest operations in the world
in action today.

Yes,
I’m talking about Amazon.

A
place you would think would be a seamless operation of high technology but, in
reality, is a bit of a mess.

The
book division doesn’t talk to the music division.  The music division
won’t talk with the electronics division. The retail business won’t talk with
the wholesale business.  The wholesale business won’t talk with the cloud
business.  Oh, and the Kindle division won’t even talk with the book division!

None
of them will share customer information with each other and, as a result,
no-one knows what customers buy from Amazon as a group, when or with what sort
of payment type.

Yes,
the silo divisions of banks mean that they ignore their greatest competitive
weapon: data, and let others potentially gain this opportunity at their
expense.

Something’s
gotta change.

Meantime,
if you want to hear what Big
Science
sounds like, have a listen …

 

p.s. if you didn't recognise him, the actor with me in the photograph is Brent Spiner, who plays the character Data in Star Trek

About Chris M Skinner

Chris M Skinner
Chris Skinner is best known as an independent commentator on the financial markets through his blog, the Finanser.com, as author of the bestselling book Digital Bank, and Chair of the European networking forum the Financial Services Club. He has been voted one of the most influential people in banking by The Financial Brand (as well as one of the best blogs), a FinTech Titan (Next Bank), one of the Fintech Leaders you need to follow (City AM, Deluxe and Jax Finance), as well as one of the Top 40 most influential people in financial technology by the Wall Street Journal’s Financial News. To learn more click here...

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2 comments

  1. I am pleased that Chris has put an amusing spin on all the Big Data Hype out there. The growth of data has indeed been tremendous over the past 10-20 years and many new approaches have been developed to integrate structured & unstructured data together to create more of a holistic view of The Customer, Emerging Opportunities and Systemic Risks. Let’s focus on the solution to the problem and not the means utilized.

  2. Back when I started in the computer industry, one of the leaders in RAID technology told me: “Computers come and go. Data just accumulates”. That was about 25 years ago. Today we can call them “devices” and who knows what the next wave will look like. Good thing data doesn’t have a huge physical space requirement.

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