Sign up | Login with →

Social Media Analytics


What Does Big Data Mean for the Future of Social Media?

November 18, 2015 by Ryan Kidman

The social media industry has grown leaps and bounds in the past decade, but some challenges have persisted. Major networks such as Facebook have struggled to meet revenue targets. Facebook’s IPO stock price was based off revenue growth figures that have failed to materialize over the past few years, raising concerns that the site couldn’t monetize its users as well as analysts hoped.[read more]

5 Ways That Qantas Is Using Data to Delight Customers and Build Loyalty

June 18, 2015 by Trips Reddy

While many retail, sports, manufacturing, healthcare and entertainment companies are already using data to improve customer experiences, the airline industry hasn’t caught up yet. But a handful of airlines are trying to change both this. By using a customer data platform like Umbel to merge web, mobile and social data from multiple sources, and training their staff to use this data better, airlines like Southwest, United and Qantas are using actionable data insights to deliver personalized customer experiences that delight flyers and build loyalty.[read more]


Redefining Loyalty Programs with Big Data and Hadoop

June 11, 2015 by Dave Mendle

A loyalty program should not be about points, rewards, or status. While these perks may attract consumers, they don’t foster loyalty. The focus of these programs should be to collect useful data that can be used to build relationships that benefit both the consumer and the brand.[read more]

The Perils of Marketing Attribution

April 14, 2015 by Bill Franks

Marketing attribution.

One of the hottest topics in analytics today is marketing attribution. Attribution, for those unfamiliar, is the process of assigning credit to various marketing efforts when a sale is generated. In the modern world, this is no easy task. There are myriad ways to touch a customer today and the goal of attribution is to tease out the impact that each touch had in convincing you to make a purchase.[read more]

From Social Listening and Social Media Analytics to Social Data Intelligence

March 27, 2015 by Julie Hong

Christophe Folschette.

The early adopters who first saw the value of social listening and analytics were all communications specialists and early pioneers in digital marketing. But almost overnight, the sector exploded and went mainstream, across management silos in enterprises large and small, traditional and new. The birth of the digital native confronted corporates with a new set of challenges, and opportunities.[read more]


How Your Small Business Should be Taking Advantage of Big Data

January 14, 2015 by Philip Cohen

Big data and small business.

Big data has been a term widely related to big business. However, more small businesses are taking advantage of the insights that it can offer. If you own a small business and you're not sure how you should take advantage of big data, keep reading for more helpful tips.[read more]


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]


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

November 18, 2014 by Shawn Gordon


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]

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]


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]


Fine-Tuning Manufacturing Operations with Big Data and Hadoop

October 6, 2014 by Sameer Nori

Manufacturing pperations and Hadoop.

Your organization is a lean, mean Six Sigma machine. The corporate culture is centered on continuous improvement, with everyone well versed in Kaizen. Your supply chain is well oiled, which should provide assurance about product quality. And yet you wonder: is it possible to improve operations even further?[read more]


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

October 1, 2014 by Sameer Nori

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]


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]

Why Sentiment Analysis Engines Need Customization

August 6, 2014 by Scott Van Boeyen

Sentiment analysis engines.

There was a time, not too long ago, when the general population would have bet their life savings that flying cars and human-like robots would exist by the year 2014. There are definitely no flying cars, and robots aren't exactly how we pictured them. However, we do have artificial intelligence that can understand what people are saying.[read more]


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]