In this era of social networks, how can insurance organizations stay abreast of customer sentiment? Assigning a few people to track online customer sentiment is not enough. The discussion is coming from too many different places, in volumes that are increasing exponentially, to be able to track everything manually. Surely, there must be an easier way? Here’s how DataSift is supporting Cognizant, a global leader in business and technology services through a bespoke, turn-key social…

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As many of you likely know last week was Tableau Software’s big customer event – the TCC 2014. It was attended by more than 7,000 folks who love data and are passionate about finding the hidden nuggets of insight that the stunning visuals of Tableau could reveal. During the event I had the good fortune to speak to many Tableau customers about the untapped potential in data from outside their organization, from the world of…

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From helping the UN identify what matters to spotting trends minute-to-minute, social data has proven a powerful tool to data scientists eager to understand how humans think and behave. Unfortunately, many hurdles have impeded us from putting these data science in the forefront of our research efforts. According to a recent article in the The New York Times, “Data scientists, according to interviews and expert estimates, spend from 50 percent to 80 percent of their…

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From a performance of “the Harlem Shake” by mobs of people in Tokyo to #makeuptransformations by women and men alike, social networks like Tumblr are spreading internet memes and slang around the world at a rate never seen before. In today’s “Sifting Around”, I’m are going to take a look at the term “Bae”.  Not the global defense and aeronautics company BAE Systems, mind you.  I’m referring to a slang word that Urban Dictionary defines…

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At DataSift, we love sharing our customer stories and what they’ve achieved by using our data processing platform. In this new blog series, we’re making sure those voices are heard. First up, it is TrendSpottr which has deployed DataSift to helpt their customers derive insights from their social data stream and finding valuable early signals in the shortest time possible. Social networks give us the power to manage and monitor trends. Now it’s all about…

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It’s the Tableau Customer Conference time again! 4 days. 7,000 people. Thousands of data visualizations. Countless customer meetings. We will be in Seattle for TCC all next week. Please visit us at stand #107 to learn about our latest and greatest additions to our platform. If you visit our booth, you will be entered for a chance to win a brand new GoPro camera. Our friends at Alteryx have once again created their massively popular…

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One of the strengths of the DataSift platform, is the ease with which filtered interactions can be sent to a variety of destinations. Google BigQuery is a good example. It takes no more than 10 minutes to configure a database in Google BigQuery, then it takes no more than 5 minutes to configure a filter in the DataSift platform which sends matching interactions straight to BigQuery. Sounds too good to be true? Register for this…

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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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Yesterday we showed the top 10 WordPress categories worldwide. Wonder how we did it? Each month, DataSift receives approximately 15-25 million full-text WordPress blog posts into our platform. Recently, the question of what topics are discussed on blogs was raised by one of our customers. Rather than simply say “everything” – we decided to take a deeper look into the content and substance of WordPress blogs. Using DataSift’s Salience Topics and Salience Entities augmentations, we…

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And yes, you’ve guessed correctly ‘Technology’ is #1. When you think about blogs, there’s a tendency to think about them as individual publications. I read TED and TechCrunch for tech and industry news, followed The Knot while I was planning my wedding and get on-going inspiration and advice from InStyle. But when you’re an application or analyst, trying to mine data for actionable information, the one-off approach simply doesn’t scale. And it’s easy to tell…

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