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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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In the second of the three-part series, we reveal how content analytics can help even very small analytics team make sense of mountains of Human Data. Astronomers have just discovered a huge and ancient black hole at the edge of our universe. According to BBC News, it is smaller than an atom, but contains as much material as 12 thousand million (12 billion) stars—some the size of the sun. Now, this is a humble DataSift blog, not an astrophysics lesson, so…

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nickhalstead

This week, the UK Budget announcement saw the government look beyond Silicon Roundabout and recognise the innovation and entrepreneurship that’s evident nationwide,investing £11 million in tech incubators in Manchester, Leeds and Sheffield. Two new “enterprise zones” are also set to be created in Plymouth and Blackpool, with the eight that already exist across the UK being expanded. As current “Enterprise Zones” have already created more than 12,500 jobs and attracted £2 billion private investment, this…

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360 view

Many businesses dream of a market-wide 360 view of their target audience. The dream is that the business can collect enough information about every potential customer through social media, website analytics and customer interactions, that they can model every possible scenario. In this hypothetical world of “total data”, the brand can determine who will be interested in their new product, who is fed-up with a competitor (and coming to the end of their contract), which…

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I’m sure now most of you have heard the news about Facebook partnering with DataSift on the introduction of Facebook topic data. On the day following our announcement (which has now generated over hundreds of press articles!) I had the good fortune to travel to Austin TX for a pre-SXSW event with our friends from W2O. It was great to get out of the office and see how the news has been picked up not…

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strategic communication in social network

In the first of a series of articles looking at Human Data sources, James Ritchie, Director of News & Blogs at DataSift, examines how the DataSift platform taps into more data sources, giving developers unprecedented insight for decision making.  When you’re looking to turn streaming Human Data into meaning, what’s the one imperative above all else you’re looking for? Ask a random sample of application developers, and their answers will most likely be the same:…

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In my last blog we looked at how PYLON works and how developers can use it to create insights from the billions of posts and engagements that take place every day on Facebook. Getting insights from topic data Now that you know the basics of how PYLON works with Facebook topic data, we’ll look at what you can do with it. Your index will contain what your target audiences are saying on Facebook about your…

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idc_book_cover

In the first of the three-part series, we reveal how Human Data can be turned from a minefield into a field of dreams. One day we might drop by our local Best Buy store and pick up a one zettabyte memory stick. But not just yet. Right now a zettabyte—that’s one trillion gigabytes to you and I—is limited to discussions about Big Data. Very, very Big Data in fact. Like Human Data. This is the billions of pictures,…

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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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