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The Amazing Ways Big Data Is Now Used in HR

July 22, 2014 by Bernard Marr

The Big Data Guru column.

Employees are a both a business’s greatest asset and its greatest expense. One company offering unique solutions to help others tackle this challenge is Evolv, and in this post I will have a look at what they do, and why it’s an important – but controversial - example of big data analysis driving business growth.[read more]


3 Ways Big Data Is Changing Financial Institutions Forever

July 15, 2014 by Bernard Marr

The Big Data Guru column.

Big data and financial services are natural match – after all, with nothing to manufacture, and no physical product to sell, data is the bedrock the industry is built on. On top of that, most of their business is quantitative – they mainly deal in good old-fashioned numbers – the simplest data to record and analyse.[read more]


Big Data Is Changing Every Industry, Even Yours!

July 1, 2014 by Bernard Marr

The Big Data Guru column.

For a business, the ability to have its production, stock control, distribution and security systems all connected and talking to each other will mean greater efficiency and less waste. Every area of industry is learning to reap the benefits of big data analysis, and it looks certain that finding innovative methods of gathering, recording and analyzing data is going to play a big part of business in the foreseeable future.[read more]


When Ideology Reigns Over Data

June 2, 2014 by Paul Barsch

Risky Business column.

Increasingly, the mantra of “let the data speak for themselves” is falling by the wayside. There are dangers to reputations, companies and global economies when researchers and/or statisticians either see what they want to see—despite the data, or worse, gently massage data to get “the right results.”[read more]


Big Data and Analytics In Sports: A Game Changer

May 27, 2014 by Bernard Marr

The Big Data Guru column.

This posts explores how big data and analytics are transforming sports to monitor athletes and players, improve their performance, reduce recover times and make sports more engaging and entertaining for the spectator and TV audience.[read more]


Are You a Networking Expert? Big Data May Have You Beat

May 22, 2014 by Gil Allouche

Big data may have you beat.

Big data’s ability to go through so much information from so many sources allow it to show connections that aren’t visible to the naked eye. It makes connections that wouldn’t and couldn’t be recognized in any other way. It’s connecting the world, or showing how the world is connected, in a way never done before. That means great things for businesses and people. It’s opening doors that were closed before.[read more]


Big Data, Analytics and Criminals

May 13, 2014 by Bernard Marr

The Big Data Guru column.

To a criminal, life must have seemed so much simpler before the advent of big data. This post looks at how big data and analytics are used to fight crime. Video analytics, DNA analysis and face recognition systems are all new technologies that might help to eliminate crime as we know it.[read more]

Harvard Gets Access to Twitter Data Stream to Predict Foodborne Illness Outbreaks

April 24, 2014 by Cameron Graham

Twitter data. 

Harvard Medical School, in partnership with the Boston Children’s Hospital, recently secured a research grant to help them find new ways to track outbreaks of foodborne illnesses. Unlikely most grants though, this one isn’t a monetary award, nor did it come from a government agency or research foundation. Instead, the reward is access to tweets.[read more]


Facebook's Big Data: Equal Parts Exciting and Terrifying?

February 18, 2014 by Bernard Marr

Big Data Guru column.

This post looks at the gigantic big data repositories Facebook is creating and discusses the exciting as well as terrifying opportunities to exploit that big data. The question is, does big data analytics put too much power in the hands of a commercial company like Facebook?[read more]


Amazon: Using Big Data Analytics to Read Your Mind

February 6, 2014 by Bernard Marr

The Big Data Guru column.

This post looks at Amazon's ability to use big data to predict what we will buy in the future. It discusses Amazon's latest patent filing around anticipatory shipping and the implications of increasingly accurate big data analytics.[read more]


When Big Data Turns Into a Big Nightmare!

January 22, 2014 by Bernard Marr

The Big Data Guru column.

For most companies today, data - especially big data - is one of their biggest assets. In this article, I look at one big data company that experienced the big data nightmare of having up to 110 million customer records stolen by thieves.[read more]

Big Data from Small Devices?

January 18, 2014 by Bruno Aziza

Wearable tech.

When it comes to big data, the industry has shown no shortage of predictions for 2014. In fact, you might have read about insights on women in data science, ambitions for Machine Learning or a vision for the consumerization of Advanced Analytics.[read more]

How Machine Learning Could Result In Great Applications for Your Business

January 11, 2014 by Mark van Rijmenam

Machine learning.

Machine learning is about creating algorithms and systems that can learn from the data they process and analyse. The more data is processed, the better the algorithm will become. It is actually a science of getting computers to act without explicitly being programmed and is a branch of Artificial Intelligence (AI).[read more]

Perfect Information Doesn't Equal Perfect Predictions

December 16, 2013 by Bill Franks

Imperfect predictions / shutterstock

What if we were able to actually know everything there is to know about our customers? What if we were able to understand them as fully as or better than they understand themselves? Would that lead to predictive models that were perfectly able to predict?[read more]


Music App Predicting the 2014 Top Artists with Big Data

December 11, 2013 by Todd Nevins

Predicting the 2014 top artists with big data.

15 million song identifications per day on the song finding app, Shazam, has provided the Big Data needed to predict who will hit and who will miss in the music scene for 2014. Users activate the mobile app for a few seconds while a song is being played on the radio, TV or even the shopping mall and the app immediately identifies the song and artist.[read more]