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Data generated by or about the use of social media
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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]

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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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]

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Where Do You Draw the Line Between Relevancy and Privacy?

October 30, 2014 by Tamara Dull

The Big Data MOPS Series. 

We have a love/hate relationship with ads. Whether they’re on television, in our favorite publications, or online, we love them if they’re relevant and interesting, or get annoyed when they get in the way of [insert whatever we’re doing]. I have to admit: I rarely watch a television show in real-time anymore. I’ll record a show, wait 20+ minutes, and “chase the show” with the recording—ad-free.[read more]

Spotlight on SiSense: BI Without the Bandwidth

October 9, 2014 by Shawn Gordon

Spotlight on SiSense.

I was at DataWeek/API World in mid-September 2014 (last week at the time of this writing) and saw some interesting things, almost entirely around Big Data. The two items that stood out for me, were the Graph DataBase system Neo4j (which I wish I had time and a reason to dig into more), and SiSense, who absolutely blew my mind.[read more]

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Whose Story Are You Telling?

October 8, 2014 by Tamara Dull

The Big Data MOPS Series.

You have limited (if any) control over what others share about you, but you do have control over what you share about yourself and others. Just because you have someone’s personal information doesn’t mean you have to share or act on it. Remember: It may not be your story to tell.[read more]

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Hadoop in Advertising & Media: Is Data Analytics Making Old Media New?

October 1, 2014 by Sameer Nori
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Hadoop in advertising and media.

Imagine the chance to truly connect with a customer. Imagine if you knew what movies and television shows they watched, and not only when, but how often. Imagine knowing what screen they watched it on and how they shared it socially. Imagine knowing what they like, or dislike, and knowing it in real-time.[read more]

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A Cautionary Tale: Are You Clicking Your Privacy (or the Privacy of Others) Away?

October 1, 2014 by Tamara Dull

The Big Data MOPS Series.

The big data privacy discussion is subtle, complex and complicated – and we each have a role to play. What’s yours going to be? This is my adapted version of the popular "Feathers in the Wind" tale attributed to Rabbi Levi Yitzhak of Berdichev.[read more]

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5 Big Data Hadoop Use Cases for Retail

September 30, 2014 by Sameer Nori

Hadoop for retail.

How does Apache Hadoop help retailers? Apache Hadoop is not just a data storage and processing framework - it is an transformational platform, especially for retailers who want to analyze customer data and improve revenues and the general customer experience.[read more]

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5 Powerful Ways Retailers Can Leverage Big Data and Hadoop

August 30, 2014 by Michele Nemschoff
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Leverage big data and Hadoop.

Big data isn’t just for developers and analysts in the technical arena. In today’s digital age, big data has become a powerful tool across industries. In fact, many retailers are experiencing major growth thanks to the big data industry. According to research by Monetate, retailers have big plans in store for big data. Let’s take a look at big data initiatives throughout the retail industry.[read more]

The Social Login Debate: LinkedIn's Weird Absence

August 28, 2014 by Rishi Shah

Social logins.

The trend toward social login – and improved user experiences – continues across the internet as Facebook and Google+ compete for a larger market share. Publishers, game developers, retailers, brands, agencies and aspiring bloggers such as myself see an enormous opportunity in social registration.[read more]

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How Companies Use Big Data Successfully

August 22, 2014 by Jessica Oaks

Big data.

One of the greatest benefits afforded businesses by data analysis is that decisions can be made not based on hunches, but on hard numbers. As soon as a company realizes this, it can start taking concrete steps to address legitimate and documented needs – customer needs, internal needs, logistics needs, and more.[read more]

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Dear Facebook, It’s Not You, It’s Us

August 15, 2014 by Tamara Dull

The Big Data MOPS Series.

Last week, we reached our 7-year anniversary mark. Have we really been together that long?! Because, honestly, it feels like forever. I’m sorry we didn’t celebrate, but I really didn’t feel like it. Ever since you asked me for my home address a few months ago, my feelings have begun to change. You crossed a line, dude.[read more]

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3 Organizations That Can See the Future with Predictive Analytics

July 26, 2014 by Michele Nemschoff

Predictive analytics.

The ability to foresee the future would certainly be the ultimate competitive advantage. In reality though, no business has a crystal ball for making critical decisions. That’s why all critical business decisions have always carried a certain amount of risk. This risk has always and will always be part of the competitive game.[read more]