The recent launch of our re-syndication partnership with bitly allows us to see the connections between conversations and clicks like never before. Using simple analysis techniques to delve into rich data sets we are able to identify key influencer events, local variations in interests and which companies are best able to ride the wave of excitement around a breaking story.
When focusing on the week leading up to Skyfall’s U.S. opening on November 9, we discovered that people from 180 countries visited more than 2,300 different websites discussing Skyfall, covering reviews, trailers, interviews, the soundtrack and other angles.

Your company’s level of social influence has a huge impact on how users trust and take to your brand. Of course, you need to build trust first in order to actually grow your influence. Sounds like a chicken and the egg scenario, wouldn’t you say? Follow these 7 steps and you’ll learn exactly how to build trust and grow your social influence simultaneously

Earlier this week, IBM published a report that claimed that social traffic from sites like Twitter and Facebook only had a negligible effect on traffic to online retailers. Considering the massive flood of Tweets, Facebook Likes, and bitly clicks that all of us at DataSift saw about these major shopping events in our feeds, I was surprised by IBM’s findings and think they may have given marketers the very wrong impression that social traffic wasn’t important…

Check out our latest Infographic: Whether you were first in line at the mall by 8pm on Thanksgiving day, avoided the crowds with a CyberMonday online shopping spree or just spent a quiet weekend checking your Twitter and Facebook feeds, Black Friday deals were probably an inescapable part of your holiday weekend.

As a Big Data platform for social, we’re continually working on how we can extend the value of insights that companies can derive from social data. Today we’re excited to announce our resyndication partnership with bitly (you can read the full announcement here) – bringing the social clickstream into our platform and integrating it to enable entirely new ways to analyze and act on social data insights.

We had the pleasure of being a sponsor at GigaOM’s Structure: Europe 2012, a 2-day event that housed the leaders in cloud computing. Throughout the event, we spoke with numerous attendees about their perspective on Big data trends and the cloud SaaS model in Europe. Here are the highlights we wanted to share with you.

When you think about charts and data, “hilarious and witty” are most likely not your first thoughts that come to mind. Big data is all around us – why not make it easy on the eyes? We recently had the pleasure of spending some time with Jason Oberholtzer, blogger for Forbes and co-founder and curator of the popular Tumblr and published book, I Love Charts. As an Internet culture maven and charts junkie, he let us in on how he turns raw data into witty visualizations, the data sharing revolution, and of course, the I Love Charts’ journey from Tumblr to a Nation-wide selling book.

If you believe the hype, tonight’s U.S. Presidential debate is either a crucial tie-breaker that will determine the outcome of the elections or it will have absolutely no impact on voting day. No matter what the outcome or how the candidates perform, you can be sure that social media will be buzzing with reactions and new memes just like after the last three debates–and analyzing those reactions will provide an endless amount of information.