The guardian


  • December 05, 2013
    News

    5 Budding Social Data Startups To Watch

    The other darling from this busy week, DataSift, announced a $42 million funding round on Tuesday, pushing the company's financing total over $70 million.

  • December 03, 2013
    News

    How Businesses Can Make The Most Of Social Networking Data

    DataSift CEO Rob Bailey on how the company helps businesses utilize data from social networking sites such as Facebook and Twitter.

  • December 03, 2013
    News

    DataSift Raises $42 Million

    Software company DataSift said Tuesday that it has secured $42 million in funding – triple the amount the company raised last year – for a total of $70 million to date.

  • December 03, 2013
    News

    DataSift Grabs $42M To Grow Its Social Data Platform

    Big data startup DataSift has closed a fresh $42 million round of funding, the company announced today. DataSift's platform allows businesses and other organizations to extrapolate social data from across many popular social networking sites.

  • October 16, 2013
    Big Data and Marketing: An Inevitable Partnership

    Big Data and Marketing: An Inevitable Partnership

    Big data has the potential to transform marketing – but making sense of it is a challenge. In principle the benefits are huge, not just in targeting and relevance, but in ease of use for the consumer.

  • June 10, 2013
    Social Media Analytics: Are We Nearly There Yet?

    Social Media Analytics: Are We Nearly There Yet?

    Businesses have been trying to crack sentiment analysis and social reach metrics for years, but how close are they to turning social analytics into the gold mine it was always meant to be?

  • March 08, 2013
    Nick Halstead, DataSift Founder and CTO interviewed on Tech Weekly Podcast

    Nick Halstead, DataSift Founder and CTO interviewed on Tech Weekly Podcast

    In a recent Tech Weekly Podcast, listen to Nick Halstead, DataSift Founder and CTO, in conversation with Charles Arthur, The Guardian's Technology Editor, as they discuss how social networks are making big data sets so powerful


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