In a previous post, I wrote about the ethical and legal risk faced by businesses processing personally identifiable information as part of a Big Data program. These are not the only challenges facing companies that want to garner insights from social data, there is also the question of infrastructure. Infrastructure is one of those things that most CEOs and CMOs don’t like to think about – a necessary evil with problems that can be fixed…

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The news of Twitter’s termination of our data licensing contract will mean disruption for hundreds of companies. For most businesses, this will not just be a case of switching from one supplier to another, over 80% of our customers leverage capabilities that do not exist in Gnip. This blog post is for those of you who wish to continue using Twitter data. It highlights the main differences that need to be taken into consideration when…

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How do you get a complete picture of the trends that should shape your future strategy? Insight into upcoming business opportunities and threats? The events your customers care about? Social data intelligence can answer many of these questions—but it’s often only part of the picture. To get a fuller picture you want to see how a topic is being covered in the published media. That’s where the news data supplied by LexisNexis comes in. This titan of global business information…

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If you saw my earlier blog posts on PYLON for Facebook Topic Data you will know how PYLON works and what you can do with it. But what is it that you get with topic data that makes it so valuable to brands and marketers? Essentially there are five key capabilities that are available in PYLON that make topic data unique in the marketing industry. Here I will explain what each of these are and provide some sample CSDL code…

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WordPress is the perfect place to pitch your online tent. In fact, this online publishing platform now powers 23% of the entire Internet. It’s a big claim backed by big stats: more than 409 million people view more than 15.5 billion pages each month, and WordPress users publish about 41.7 million new posts and leave 60.5 million new comments each month. One thing’s for certain: organizations can’t afford to ignore WordPress as part of their social data strategy. Here’s the…

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As we continue to offer more and more features to customers, such as PYLON for Facebook Topic Data, we’re also investing to improve the experience building against our platform. This means more useful and relevant content available to marketers, agencies and most importantly – developers. You’re already familiar with our main site, which provides high-level information about our platform and products. Tune into the blog to learn more about specific use cases for PYLON for…

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Last week Facebook and Datasift announced the release of topic data, a new way for brands to understand their audiences through their Facebook activity. Today, Francesco Dorazio of Pulsar, a researcher and designer with a social science and digital media background discusses why Facebook topic data is a big deal for the marketing industry.  Facebook topic data, which can be tapped into through Datasift’s new product PYLON, analyzes what 1.39 billion people are talking about on the platform and…

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The Washington Post weren’t kidding when they declared that, Tumblr is the new front page of the Internet. The fastest growing social platform in 2014, Tumblr is stacked high with everything from stories, photos and TV shows, to links, Spotify tracks, fashion and art. 460 million visitors each month engage with 227 million different blogs. Once you follow a blog, all of its posts show up in your dashboard. If you see something you like, you can reblog it to…

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This week we’ve announced our partnership with Facebook to help marketers gain insights from Facebook topic data. We know that developers are as eager as marketers to learn how our this technology works. In today’s developer blog post, Richard Caudle, our platform evangelist explains how to take the CSDL for filtering data from networks such as Twitter or Tumblr, and how to apply the CSDL to Facebook topic data. This blog post discusses DataSift’s privacy-first approach,…

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When SAP introduced SAP HANA 4 years ago the in-memory platform delivered on the promise of Real-Real time. SAP has been working on bringing Real-Time performance to SAP BW, ERP and a host of other applications, however, there is no faster moving type of data then social data. At DataSift we process 2 billion interactions per day, that’s more than 23,000 per second! Layer into this the fact that most of this data is ‘unstructured’…

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