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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]

Smart Ways of Using Google API for Optimum Results

November 20, 2014 by Jason Bowden

Google API (Image: www.mtmpro.net)

There are many Google API services that can be used by digital marketers to their business advantage. Utilizing these APIs as web applications for digital marketing can help boost the data analytics, accuracy, compatibility and speed of your business applications with Google services.[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]

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Spotlight on Traitify: Who The Hell Are You, Anyway?

November 18, 2014 by Shawn Gordon

Traitify

DataWeek/API World this past September earned my ink as an overall exceptional conference, and as a spotlight on big data company SiSense. I did not, however, cover any of the API companies in attendance, other than a brief mention. But one I found super interesting and compelling is Traitify.[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]

Meeting the Business Technology Needs of Midsized Companies

November 14, 2014 by Julie Hunt

Current technology trends are important for all organizations. Most midsized companies have these technologies at the top of their lists: Mobile, Analytics, Cloud, and Security. And each year many midsized organizations dedicate more budget for technology as a strategic investment, as Deloitte noted in a recent study.[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]

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]

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Big Data Meets Fantasy Football

November 10, 2014 by Gil Allouche

Fantasy sports (image: Pixabay)

Because fantasy sports have become such a lucrative business in the United States, there are numerous platforms that companies are using to grab a share of the market. The 2014-2015 season will signal the entrance of another business, perhaps unexpectedly — big data.[read more]

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Storytelling with the Sounds of Big Data

November 10, 2014 by Paul Barsch

Risky Business column.

Trying to internally “sell” the merits of a big data program to your executive team? Numbers and facts probably won’t make the sales pitch complete. You will also need to appeal to the emotional side of the sale by incorporating the sounds of big data.[read more]

Deliver an Excellent Customer Experience Using Big Data

November 7, 2014 by Jason Bowden
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Customer experience and big data.

Customer data and management is an important aspect of any online business. Obtaining a customer insight is crucial to business marketers and the majority of big enterprises are using big data for their business in today’s online marketing industry. IT executives harness the competence of their businesses to deliver high quality customer experience using big data.[read more]

Data Visualization: A Scientific Treatment

November 7, 2014 by Peter James Thomas
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Data visualization.

Imagine an organisation which (as you would expect) tracks the volume of sales of a product or service it provides via a number of outlets. Imagine further that it launches some sort of promotion, perhaps valid only for a week, and notices an uptick in these sales. It is extremely tempting to state that the promotion has resulted in increased sales.[read more]

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Are You Kidding Me, Facebook? Oh, You Got It Right

November 6, 2014 by Tamara Dull

The Big Data MOPS Series.

Finding the balance between honoring people’s privacy while providing them with an interesting and relevant online experience is tricky, complicated, and an issue of context. What I may consider as a violation of my privacy, you may think nothing of—or what you may consider an invasion of your privacy, I may say, “Wow. That’s cool. And maybe a little creepy.”[read more]

How to Get Started with Value Add Forecasting

November 6, 2014 by Ray Major

Value add forecasting.

So the promise of using statistical algorithms, forecasting and predictive analytics is now added to the list of a company’s number one priorities. There is a sense of urgency surrounding this new high profile initiative. One may ask, “What’s next?” Well, here are a few steps that you will need to take to deploy your forecasts successfully.[read more]