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Social Data

Data generated by or about the use of social media

Four Key Steps For Enterprise IoT Security

August 26, 2016 by Timo Elliott

There’s been a lot of press recently about the problems of IoT security: easily hackable smart locks, as many as 100M Volkswagens at risk, vulnerable light bulbs, and even sex toys that spy on you.Here are some key concepts for the future of IoT security in the enterprise:First, IoT is going to save a lot of livesIt’s ...[read more]

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Hollywood looking at big data to find the next big hit

August 12, 2016 by Melissa Thompson
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Through mining consumer blogs, social media posts, and file downloads, streaming companies and producers learn what themes, writers and actors they need to combine in order to maximize their chances of success.[read more]

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Long Live KPIs: Innovation is the New Black

July 12, 2016 by Melissa Thermidor

When you think of creativity and community, the last thing that comes to mind is a Key Performance Indicator - just writing that out made me feel completely dead inside. They've been around since the stone age, yet they remain the same and we continue to bang on about how important and necessary they are every chance we get.[read more]

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Big Data and Social Marketing – A Match Made in Heaven

June 3, 2016 by Rehan Sheikh
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Many advertisers are turning to social media over other advertising channels. According to research from Invesp and AdWeek, brands are expected to spend $15 billion on social advertising in 2018.Some social media sites are taking advantage of big data to offer better services to their advertisers. As a result, demand for social...[read more]

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How Big Data Helps Solve Social Challenges

April 25, 2016 by Abdullahi Muhammed

Big data has challenges but it's clear that the pros of utilizing it now far outweigh the cons. Here are just a few ways that big data already helps solve social challenges.[read more]

How to Personalize the Retail Experience with Data

March 23, 2016 by Larisa Bedgood

How to Personalize the Retail Experience with DataLeading retailers have made great strides in becoming omni-channel, multi-channel marketing experts. Reaching consumers across multiple channels, having a strong digital presence, engaging on social platforms, and embracing mobile continue to be key themes in targeting today’s shopper....[read more]

The General Data Protection Regulation in a nutshell

March 22, 2016 by Zygimantas Jacikevicius

After more than three years of discussion the EU General Data Protection Regulation or GDPR framework has been finally agreed on. The main intent of the GDPR is to give individuals more control over their personal data, impose stricter rules to companies handling it and make sure companies embrace new technology to process the influx of data produced.[read more]

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Companies Paint Colorful Picture with Big Data

March 21, 2016 by Jessica Oaks

Big data is extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions. Here is how major brands utilize data.[read more]

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Reasons Why Business Intelligence is the New BFF of All Online Marketers

January 25, 2016 by Ryan Kh
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The main purpose of business intelligence is to analyze large quantities of data – both quantitative and qualitative –in order to get an in-depth insight about your customer’s thought and behavior process. This system is particularly useful for online marketers since they do not make face-to-face contact with their customers. By using the following business intelligence strategies and tools, you will be able to understand why your customer acts in a particular way and how to change your products accordingly.[read more]

Unintended Effects of Adblockers

January 18, 2016 by Brigg Patten

Nothing of quality in life is free. Most would agree with this statement. When it comes to the Internet, we have a wealth of knowledge available at our fingertips, information that would have required the investment time and money to acquire just a few short decades ago. In order for us to be able to maintain this availability, sometimes we have to pay a price.[read more]

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72% of People Aren’t Familiar with Hosted VoIP

January 4, 2016 by Josh Rose

VoIP is the concept of using the internet and cloud based servers to place calls instead of using traditional pbx boxes and phone cables. A universally understood example being Skype which allows you to video or audio call anyone around the world over the internet for free.[read more]

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Is Big Data Winning or Losing?

December 9, 2015 by Josh Rose
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Big data is now used everywhere. AT&T has a database of 312 terabytes, the NSA use 30 million gigabytes a day and Facebook user share 30 billion pieces of content daily. There is big money and big opportunity in big data. Huge scale tools are being created all the time to benefit our existence and to make our lives easier. However these tools can sometimes be easier to cheat than other systems.[read more]

8 Ways That College Sports Teams Can Use Data to Prove Value to Sponsors

October 15, 2015 by Trips Reddy

Brands are spending millions of dollars in college athletic sponsorships but are they really worth it? How can college teams use data to show value to their sponsors? Here are 8 things every college team needs to do to attract and retain their biggest sponsors:[read more]

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It’s Your Life, Starring Your Data

July 27, 2015 by Tamara Dull
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At a recent EPIC Champions of Freedom privacy event, Apple’s CEO Tim Cook finger-wagged some of his Silicon Valley neighbors—without mentioning names Facebook and Google—on how they were using their users’ data. “They’re gobbling up everything they can learn about you and trying to monetize it. We think that’s wrong. And it’s not the kind of company that Apple wants to be,” Cook said.[read more]

Challenges of Working with Big Data: Beyond the 3Vs

July 16, 2015 by Venky Ganti
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Among many challenges in working with big data, the 3V’s (Volume, Velocity, and Variety) have gotten a lot of attention. Googling yields many results worth reading. Almost all of these focus on technological challenges in managing and processing big data. In this post, I would like to highlight a different set issues that make working with big data challenging, even if the underlying infrastructure is admirably able to handle all three V’s.[read more]