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Big Data

The Must-Have Skills You Need to Become a Data Scientist

November 26, 2014 by Linda Burtch
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data science

I wanted to put together a list of technical and non-technical skills that are critical to success in data science. Every company will value skills and tools a bit differently, and this is by no means an exhaustive list, but if you have experience in these areas you will be making a strong case for yourself as a data science candidate.[read more]

Data Quality: The Secret Assassin of CRM?

November 25, 2014 by Martin Doyle
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Data quality

There’s a silent virus lurking in many CRMs. It’s a virus that slowly gets a foothold in the system, then slowly starts to deprive it of oxygen, choking it until it can no longer breathe. As the CRM starts to suffer, the business starts to falter. So what is the virus? The secret assassin of the CRM? It’s poor quality data.[read more]

The Future of Big Data, Visualized [INFOGRAPHIC]

November 24, 2014 by Tracey Wallace

Future of big data

We'd start a public petition for blog posts about big data to stop using the "every day, we create 2.5 quintillion bytes of data" stat if we could. In this infographic, we break down how the industry has changed over time, and show the projected path for the years to come.[read more]

How to Drive Real-Time Revenue in the World of Big Data

November 24, 2014 by Larisa Bedgood

Data – we are bombarded daily with messages, statistics, news, and slogans such as “Big Data is a Big Deal”. In fact, some of us can start rattling off numbers from memory. The buzz isn’t going away any time soon because in truth, Big Data is a Big Deal.[read more]

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5 Ways Hadoop Can Help Healthcare Organizations and You

November 23, 2014 by Sameer Nori

Hadoop and healthcare

There are many different use cases for Hadoop in healthcare. Some of them include helping doctors, patients, and healthcare organizations include personalized treatment planning, assisted diagnosis, fraud detection, and monitoring patient vital signs. Learn how Hadoop is being implemented in each of these use cases.[read more]

Three Challenges Europe Faces in Becoming a Competitive Big Data Market

November 21, 2014 by Mark van Rijmenam

Europe / shutterstock

The European Commission is working hard on developing a competitive European Big Data market. Last week, as a result of this, the European Digital Forum convened the High-Level Roundtable on Europe’s Digital Future. Here's my vision of how Europe can enable forward-looking, data-driven startups to unleash the vast potential of data.[read more]

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5 Common Use Cases for Hadoop in Retail

November 20, 2014 by Sameer Nori

Hadoop in retail

Retailers can focus on the shopper as an individual, rather than aiming at the masses and hoping to snag a few. Where there once were customer panels, in-store surveys, focus groups, and guesswork, there is now social media, online search behavior, and easy-access customer input.[read more]

First Look: Dataiku’s Data Science Studio

November 20, 2014 by James Taylor

Dataiku

Dataiku, a company founded in 2013 and based in France, launched their product, Data Science Studio (DSS), in February 2014. The product is designed to improve the effectiveness and productivity of data teams especially when it comes to turning raw data into an analytic API.[read more]

iBeacons, Retail and Information Overload: How Macy's Is Kickstarting Retail's Data Warehousing Needs

November 19, 2014 by Tracey Wallace

Macy's

Macy’s is using iBeacon technology in combination with Shopkick, a location-based coupon dispenser app used by top national retailers, to finally capitalize on what those in the big data and Internet of Things industries have said was long coming: an offline data-driven retail experience.[read more]

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Warning! When Big Data Turns Bad

November 18, 2014 by Bernard Marr

As with all game-changing technologies, Big Data has the potential to be used for evil, as well as good. There are two common ways that “bad things” will often happen: malice, or maladministration. Sometimes big data technology is misused to deliberately cause harm to others, and sometimes it is simply used incorrectly, therefore causing harm.[read more]

3 Ways to Adapt to the Shift Toward Online Privacy (Ethically, Nonetheless)

November 17, 2014 by Rishi Shah

Online privacy / shutterstock

The push toward online privacy continues to gain momentum. Those of us in the industry need to be prepared as the transition occurs so that we have strong business practices in place, understand how data collected today is different from data collected yesterday, and figure out real value exchanges.[read more]

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6 Experts Explain How IT Infrastructure Matters to Your Organization's Data Sets

November 17, 2014 by Aaron Aders

A new interactive infographic by IBM features insights from six industry experts and shows how putting big data to use isn’t just a matter of using the right analytics, but having the right infrastructure in place to accommodate the scale of data being gathered.[read more]

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IT MPG: Measuring the Value of IT Is Simple Math

November 14, 2014 by Bob Dvorak

Nearly 65 percent of U.S. organizations reported an increase in IT budgets in 2014, according to the annual SIM IT Trends Study, with the average percentage of revenue allocated to IT this year at more than five percent. But what exactly do we get for all that money?[read more]

Miss the Right Connections at Your Own Peril

November 14, 2014 by Bill Franks

connection analytics / shutterstock

Part of what makes the analysis of connections so powerful is that while virtually every metric typically used for analysis focuses only on facts about each individual entity, the analysis of connections makes it possible to also understand each entity’s relationships to others[read more]

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Are You Sweeping Big Data Privacy Under the Carpet? 5 Things to Do Instead

November 13, 2014 by Tamara Dull

Admit it: When you read or hear about big data privacy, you’re ready to move onto the next topic or swipe to the next screen. Or sweep it under the carpet. You know the discussion is important, but let’s be honest: it’s not exciting, it’s sometimes creepy, and it’s not easy to navigate its complexities.[read more]