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Big data needs a facelift to cut
   through the social noise
    MinneAnalytics – 01/21/2013
          t: @sk_shivani
Motivation

80% of the learning we engage
        in is informal.
Data Vomit
  An overload of data where the
meaning of data is lost on the users.
Social Trends




http://www.maggiehosmcgrane.com/2011/08/revolution-or-evolution-rscon-final.html
Connecting Intelligence




http://www.maggiehosmcgrane.com/2011/08/revolution-or-evolution-rscon-final.html
Personal Channels




http://www.windley.com/archives/2012/06/personal_channels.shtml
Goal – Make data meaningful, actionable and insightful

• Tasks
  – Who has posted in the last 24 hours?
  – Hide all brands and companies
  – View posts by type – videos, photos, links
  – Contextually relevant check-ins
  – Filter out posts by groups
  – Hide content you don’t want to see
Our visualization of FB:
http://www.dasboom.com
Data Visualizations
• Facebook Insights - Visualized
Thank You!
• t: @sk_shivani
• e: sk.shivani@gmail.com

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Big Data needs a facelift to cut through the social noise

Hinweis der Redaktion

  1. http://www.maggiehosmcgrane.com/2011/08/revolution-or-evolution-rscon-final.html
  2. June 14, 2012Personal channels are a multi-channel communications and sharing architecture like social networks, but are decentralized and protocol-based like email. Computer systems often begin as centralized systems because such architectures are easier to build and understand. After a time, they evolve to decentralized systems as the limitations of the centralized solution become apparent.Links between personal clouds—called a personal channel—can simplify, automate, filter, and protect communications in ways that have never been possible before. Personal channels combine the best features of email with the best features of social networks while eliminating key drawbacks of both. They will also introduce new levels of security, privacy, and control over personal data that will enable trusted relationship management between people and organizations everywhere.
  3. http://techcrunch.com/2013/01/13/facebook-to-the-future/
  4. Facebook Data Science: https://www.facebook.com/data?ref=ts&fref=ts
  5. https://projects.invisionapp.com/share/KRB2V1QN#/4621671
  6. https://projects.invisionapp.com/share/B9B3KV67