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Turning the vast amount of unstructured data available on LinkedIn into privacy-first actionable insights for marketers can be a daunting task. That’s why today we’re launching Concepts for PYLON for LinkedIn Engagement Insights to help to surface what’s driving engagement and what’s grasping the attention of their audiences on LinkedIn’s platform, and get to the valuable insights faster. PYLON for LinkedIn Engagement Insights processes vast amounts of LinkedIn data. As it sifts through all of…

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Who is your audience? Card in hands of businessman

LinkedIn Engagement Insights Does. Today’s marketers are driven by data and identifying their target audiences and exactly what matters to them is vital to campaign – and ultimately overall business – success. However, data volumes continue to grow and it’s becoming increasingly difficult for marketers to analyze and interpret meaningful signals from the data noise. PYLON for LinkedIn Engagement Insights gives marketers a helping hand. The privacy-first analytics offering turns the vast amount of data…

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Last week, we held a webinar where we introduced PYLON for LinkedIn Engagement Insights. This privacy-first analytics offering equips marketers with an in-depth understanding of key audiences, their interests and engagement with content, and how they interact with brands on LinkedIn. With more than 467 million professional members worldwide, LinkedIn Engagement Insights allows you to make data-informed decisions based on the genuine needs and interests of your target audiences. The webinar showcased a series of…

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This week, we announced our partnership with LinkedIn and unveiled PYLON for LinkedIn Engagement Insights but how exactly will this new offering help you improve your campaigns? LinkedIn Engagement Insights offers you a privacy-first view into what 467 million professionals are reading, sharing, and saying about your products, industries, brands, and the environment around them on the world’s largest online B2B network. Marketers and agencies, such as Motley, Publicis Media, and WPP’s Mindshare are already using…

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As a partner to some of the world’s largest social networks, we’ve witnessed first hand the continued explosion in the volume, variety, and complexity of social data over the last few years. However, as volumes grow, we’ve seen that the ability for us mere mortals to analyse, interpret, and identify signals from data is becoming increasingly hard. It’s time for machines to lend a hand. Today, our latest collaboration highlights this major shift towards what…

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Technology has changed the way we watch TV – and I’m not talking about being able to watch three episodes of “The Walking Dead” every night for three weeks (not recommended, bad for the nerves). I’m talking about the way we actually watch TV – what we do whilst the show is on.We no longer sit slack-jawed letting the images wash over us, now we clench our jaws and let the world know what we…

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One of Roald Dahl’s many fantastic short stories is “The Great Automatic Grammatizator”, written in 1953 it tells the story of a machine that could write fiction. As I recall it, the machine could churn out books at a phenomenal rate and would incorporate feedback on what proved popular into its future works. We are not quite in the age of Artificial Intelligence (AI) fiction yet, but human data is playing an important part in…

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Almost a year ago now the people of Scotland were deciding whether to become independent from the UK. At the same time, the Bank of England (the UK’s central bank) were trying to determine whether a “yes” vote would trigger a run on Scottish banks. They decided to try and do this by analyzing social data from DataSift. You can read all about their methods, findings and recommendations on using social data for predicting real…

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Last week, DataSift released PYLON 1.5, our third package of enhancements since announcing the PYLON platform for Facebook topic data. The theme of the 1.5 release is incorporating ease-of-use feedback from our early PYLON customers. All of the features in 1.5 were requested by customers when they began to trial PYLON for Facebook Topic Data in May. We prioritized their feedback and turned around a quick release to make PYLON even easier to use. Small…

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August 13th, 2015. The day that Twitter cut offs its firehose for DataSift. But just because we no longer have access to Twitter firehose, it doesn’t mean that you can’t process your Twitter data using our platform. Enter Open Data Processing (ODP) for Twitter. A nifty piece of technology that allows you to process your Twitter data in the DataSift platform and get more value from your Tweets through – otherwise not available – advanced DataSift…

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