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Big Data

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]

It's Time to Get Serious About Using Sensitive Data to Save Lives

November 13, 2014 by Joshua New

unlocking sensitive data / shutterstock

The use of sensitive data to address healthcare needs has a demonstrated history of being effective and necessary, and going forward, researchers and others working on healthcare issues should be encouraged to further embrace the use of sensitive data to save lives.[read more]

Social Business and Digital Strategy

November 13, 2014 by Michael Fauscette

digital transformation

Social business, collaboration, community and content: is there real business value tucked away in those words? Are businesses really feeling the pressure to do some things differently, and by changing can they be more competitive, grow faster and be more successful?[read more]

Big Data Requires Integration Technology

November 12, 2014 by Mark Smith

Big Data and Integration Tech

I’ve already explained how big data can be ineffective without integration, and we conducted more in-depth research into the market, resulting in our benchmark research on big data integration, which reveals the state of how organizations are adopting this technology in their processes.[read more]

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Reviewing the Benefits and Drawbacks of Flash Storage

November 12, 2014 by Rick Delgado

flash storage

It’s become clear that flash storage is trending upward and may one day become the dominant storage option for individuals and businesses. With this in mind, it’s important to note why flash storage has increased in popularity while also examining the drawbacks that might prevent it from receiving universal adoption.[read more]

3 Business Questions Big Data Helps to Answer

November 11, 2014 by Bernard Marr
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Before you start collecting and analyzing data, it’s important that you know what questions you want to answer. Here are three important business questions that big data can help to answer, along with examples of how companies are already answering them using big data.[read more]