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Office Graph and Delve - The Future of Discovering and Consuming INformation?

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Office Graph and Delve - The Future of Discovering and Consuming INformation?

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We’re transitioning from the information technology age to the social/big data era. While we have to deal with massive information overload, our interaction with information gets more and more important. Search, Social and Enterprise Intelligence (Machine Learning) gets together, they’ll drive the future together – but we think we still cannot see all the potentials there! Office Graph and Delve demonstrate how Microsoft reimagined search and information discovery. They help us not only getting direction in the information jungle but also, to understand Microsoft’s vision and strategy more. In this thought-provoking session, we’ll discuss the real-world challenges everyone has to face in this new era. We’ll discuss the future of information management and enterprise findability, too.

We’re transitioning from the information technology age to the social/big data era. While we have to deal with massive information overload, our interaction with information gets more and more important. Search, Social and Enterprise Intelligence (Machine Learning) gets together, they’ll drive the future together – but we think we still cannot see all the potentials there! Office Graph and Delve demonstrate how Microsoft reimagined search and information discovery. They help us not only getting direction in the information jungle but also, to understand Microsoft’s vision and strategy more. In this thought-provoking session, we’ll discuss the real-world challenges everyone has to face in this new era. We’ll discuss the future of information management and enterprise findability, too.

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Office Graph and Delve - The Future of Discovering and Consuming INformation?

  1. 1. Office Graph and Delve – The Future of Discovering and Consuming Information? Agnes Molnar Enterprise Search Consultant, Founder, MVP Search Explained
  2. 2. Introduction – Agnes Molnar • 8 years MVP (SharePoint, Office 365) • Enterprise Search, Information Architecture • Founder & Managing Consultant • Worldwide Consultancy, Guidance, Trainings, Workshops • Web: http://SearchExplained.com • Yammer: http://yammer.com/SearchExplained • Community: http://ITUnity.com • Twitter: @molnaragnes • E-mail: agnes.molnar@SearchExplained.com
  3. 3. Content I know about Content I don’t know about Useful Content Content with no Value
  4. 4. Content I know about Content I don’t know about Useful Content Content with no Value
  5. 5. Content I know about Content I don’t know about Useful Content Content with no Value
  6. 6. Findability
  7. 7. Search vs. Discovery
  8. 8. Delve An Introduction
  9. 9. Office Graph An Introduction
  10. 10. Manager Direct report Works with Shared with me Viewed by me Trending around me Presented to me Liked by me
  11. 11. Manager Direct report Works with Shared with me Viewed by me Trending around me Presented to me Liked by me
  12. 12. Manager Direct report Works with Shared with me Viewed by me Trending around me Presented to me Liked by me Works with Modified by Jenny Gottfried Trending around Jenny Gottfried Modified by Jenny Gottfried Liked by Jim Geist Emailed to me Emailed to me Works with Modified by Jim Geist Modified by Alan Brewer Commented on Commented on Trending around Nancy Anderson
  13. 13. Viewed by me Works with Modified by Jenny Gottfried Trending around Jenny Gottfried Modified by Jenny Gottfried Liked by Jim Geist Emailed to me Emailed to me Works with Modified by Jim Geist Modified by Alan Brewer Commented on Commented on Trending around Nancy Anderson Leave documents Privacy in Delve
  14. 14. Signals from SharePoint Online OneDrive for Business Email attachments Office 365 Video Portal Yammer Lync
  15. 15. Signals
  16. 16. Search Social Enterprise Intelligence Big Data
  17. 17. Thank You! Web: http://SearchExplained.com Yammer: http://yammer.com/SearchExplained Twitter: @molnaragnes E-mail: agnes.molnar@SearchExplained.com More information: http://links.aghy.hu/ITU-Delve
  18. 18. Ne zaboravite ispuniti upitnike. Čekaju vas vrijedne nagrade!

Editor's Notes

  • Too much information

    “The Average Person Today
    Processes More Data in a Single Day
    Than a Person in the 1500’s Did
    In an Entire Lifetime.”
  • DAN
    Technical silos
  • DAN
    Organizational silos
  • Agnes
    Search results
  • Agnes
    Finding a needle in a haystack
  • Agnes
    Search metaphor broken and outdated

    Transition to Dan
    Maybe that’s not what we should be focused on… setup for findability
  • AGNDES
    FINDABILITY is what we should be focused on. Search is just a piece of that.
    We’ve had navigation for a long time (though many of us never got it right).
    We’ve been focused on search
    Search is dependent upon accessibility of the content (permissions, technology [format & container & connectors to content]) & information architecture (which again, many of us never got right)
    The user experience of search has gotten better
    Some search results take into account user interactions with content (e.g. clicks) but they are accounting for other users’ behaviors related to a search query, not my behaviors or preferences.
    DAN
    What’s been missing is the user himself or herself. An understanding of the user—their persona—to help determine what the user might be trying to find or should find.
  • Agnes – Digital workspace
    Screenshots
  • Dan
  • Dan
    Privacy scenario
  • Extensibility
     Building Solutions with Office Graph by Waldek Mastykarz and Wictor Wilén (Mon)



  • Public and Private signals
  • Agnes

    One way to think about Office Graph & Delve is as the mashup of

    6 billion EDGES (raltionships)
  • ×