Sign up | Login with →

Social Media Analytics

The Gladness and Sadness of March Madness

March 20, 2014 by Dan Grady

An analysis of March Madness.

Using Sentiment Analysis of social media, the public’s emotions around the brackets and teams for this year's NCAA Men's Basketball tournament are analyzed to try to determine the most confident fanbases in order to predict the champion.[read more]

Strange Uses for Sentiment Analysis

March 14, 2014 by Rami Nuseir

Sentiment analysis.

A large airline company started monitoring tweets about their flights to see how clients were feeling about delays, upgrades, new planes, in-flight entertainment, and more. Nothing special there, except when they began feeding this information to their customer support platform (ZenDesk, I think?) and solving them in real-time.[read more]

Climate Change Under the Text Analytics Microscope

February 28, 2014 by Scott Van Boeyen

What does Leo have to do with climate change? You'll find out.

I looked at #fail first, to see what came up, and found a bunch of tweets insulting people who thought the cold burst this winter disproved climate change. My favorite example came from an American user who tweeted "saying a cold snap disproves climate change is like saying the ability to jump disproves gravity."[read more]


Facebook's Big Data: Equal Parts Exciting and Terrifying?

February 18, 2014 by Bernard Marr

Big Data Guru column.

This post looks at the gigantic big data repositories Facebook is creating and discusses the exciting as well as terrifying opportunities to exploit that big data. The question is, does big data analytics put too much power in the hands of a commercial company like Facebook?[read more]

Transforming HR Recruitment Practices with Big Data

December 17, 2013 by Mithun Sridharan

Big Data for HR

Staffing the right candidate for a job opening is a daunting task. Through Big Data analytics and social media data, your HR department could use a data-driven approach in recruitment practises and identify the right candidates in the shortest possible time.[read more]


Music App Predicting the 2014 Top Artists with Big Data

December 11, 2013 by Todd Nevins

Predicting the 2014 top artists with big data.

15 million song identifications per day on the song finding app, Shazam, has provided the Big Data needed to predict who will hit and who will miss in the music scene for 2014. Users activate the mobile app for a few seconds while a song is being played on the radio, TV or even the shopping mall and the app immediately identifies the song and artist.[read more]


Never Stop Expecting More from Your Unstructured Data

December 5, 2013 by Luca Scagliarini

Unstructured data.

Where there is information, there is also software trying to make sense of it and traditionally, this software is based on keyword technologies. These technologies are so widely used that it is common to think that using keywords is an easy and effective way to access and analyze information. But in reality, this is not completely true.[read more]


How Big Data Will Change People Management Forever

November 19, 2013 by Bernard Marr

The Big Data Guru column.

Big data will have an impact in so many business areas. In this post I look at how big data is used in people management (or HR) settings to change the measurement, analysis and management of people forever. I believe big data can make a real impact in the area of people management, but only if companies invest in building the big data and analytics skills and expertise now.[read more]

Big Data and the Analytics Arms Race

November 19, 2013 by Bill Franks

If you aren't using analytics, you are falling behind.

The takeaway point that I want to stress is that if you don’t focus on how to effectively capture and analyze the data coming at you today, you’ll be even further behind tomorrow. There is an arms race of sorts going on in the world of big data and analytics.[read more]


9 Amazing Ways Big Data Is Used Today to Change the World

November 5, 2013 by Bernard Marr

the big data guru

I believe that most aspects of business and society will be impacted by big data analytics, but saying big data is used for everything in not helping with the current confusion of how big data is adding value. This post outlines the 9 areas in which big data is used most extensively today to add real value.[read more]

Analytics for Decision Management

November 5, 2013 by James Taylor

how to choose?

The challenge of analytics is communication and creating a shared understanding. It’s about focusing on high impact areas, moving forward one step at a time, being skeptical, being creative, searching for the truth. Any company can compete on analytics.[read more]


Danger: 3 Reasons to Be Scared of Big Data

September 24, 2013 by Bernard Marr

This post tackles the dark side of big data and outlines 3 scenarios in which big data analytics can be used for good or evil. The big concern I have is what happens when, for whatever reason, the government or powerful companies turn evil? I feel that this is such an important debate to be had and one that many data and analytics experts and vendors seem to shy away from.[read more]

Infinite Analytics

September 21, 2013 by Mark van Rijmenam

Infinite Analytics is a cloud-based big data startup that uses the social graph of consumers to provide personalized recommendation. They have developed SocialGenomix, a tool that merges data from major social networks to create, as they like to call it, a “segment of 1”.[read more]


B2B Software Startups: The SaaS Platform Dilemma

August 29, 2013 by Thomas Oriol

SaaS has considerably reduced B2B software development costs. Think about ten years ago and the products and services you had to buy when starting a B2B software company, and that you can now rent. These include productivity suites, servers, telecom networks, software development tools and project management and CRM software.[read more]


What Really Is Big Data? And Why It Will Change the World

August 27, 2013 by Bernard Marr

This article, the first in the 'Big Data Guru' column, outlines in simple terms what Big Data really is. It discusses the three pillars of the big data phenomenon: the increasing datafication of our world, the generation of unstructured and complex data, and our ability to analyse this data.[read more]