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1
   Matt Taylor, Funnelback UK

   mtaylor@funnelback.com

   @mattletaylor




                                 2
agenda




         3
introduction to FB




                     4
introduction to FB
sem – what is it?




                     5
introduction to FB
sem – what is it?
success techniques




                     6
introduction to FB




                     7
   CSIRO research project - 20 years in dev

   Advanced technology
    ◦ Ranking algorithm
    ◦ Contextual navigation
    ◦ Early binding lock/key
    ◦ Fine Tune algorithm

   Rapid customisation

   Search any system

   Professor David Hawking

                                               8
sem – what is it?




                    9
   “More than half measure ROI through incr
    eased site usage, while 43% benchmark a
    ccording to increased sales.”

     Econsultancy Site Search Survey Report




                                               10
Monetisation of site

 Funnelback Best Bet feature

 Context aware results

 Personalised, targeted content

A better search experience speeds up
 decision making and speed to purchase

                                         11
   Searchers are successful in finding what they
    seek 50% of the time or less.
    ◦ 2001, IDC, “Quantifying Enterprise Search”

   More than half cannot find the information
    they need using their Enterprise search
    system
    ◦ 2011, MindMetre/SmartLogic, “Mind the Enterprise
      Search Gap”




                                                         12
 Virtual deployment
 3 million documents and counting
 Full disaster recovery in <10 minutes
 Intelligently aggregating several systems
 1000‟s of websites
 Research database
 Documentum
 SharePoint

                                              13
   “Search-based applications … deliver a
    purpose-designed user interface tailored to
    support a particular task or workflow.”

    ◦ 2010 how IDC describes search-based applications




                                                         14
Courses are a Universities „product‟

 A separation between course and website results

 Funnelback crawling website and databases

 Presenting „compare the market‟ for courses

A better search experience speeds up decision
 making and speed to purchase


                                                    15
16
   Engage through a curated and intuitive journey

   Bring simplicity to chaos

   Provide human sensibilities during the process

   Create an emotional bond through search
    intimacy

   Design must touch every aspect of the UX



                                                     17
18
19
success techniques




                     20
   Gain a true understanding of the problem

   Breaking it down into small „chunks‟

   Delivering in phases

   Iterative testing throughout




                                               21
   Combining Funnelback‟s advanced technology
    ◦ Query blending of the results set

    ◦ Fine tune

   With advanced design

   To create enviable navigation paths

    ◦ Advanced auto-complete

    ◦ Faceted navigation

    ◦ Context aware results

                                                 22
   The biggest challenge is often normalising
    results from many systems into one result set

   Is not straightforward

   Is not solved via a big-bang approach

   Requires a lot of planning

   Requires significant input from the data‟s owner

   But…….it can be successful


                                                       23
24
25
26
   Matt Taylor, Funnelback UK

   mtaylor@funnelback.com

   @mattletaylor




                                 27

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Search Experience Management - Online Information Presentation by Matt Taylor

  • 1. 1
  • 2. Matt Taylor, Funnelback UK  mtaylor@funnelback.com  @mattletaylor 2
  • 3. agenda 3
  • 5. introduction to FB sem – what is it? 5
  • 6. introduction to FB sem – what is it? success techniques 6
  • 8. CSIRO research project - 20 years in dev  Advanced technology ◦ Ranking algorithm ◦ Contextual navigation ◦ Early binding lock/key ◦ Fine Tune algorithm  Rapid customisation  Search any system  Professor David Hawking 8
  • 9. sem – what is it? 9
  • 10. “More than half measure ROI through incr eased site usage, while 43% benchmark a ccording to increased sales.”  Econsultancy Site Search Survey Report 10
  • 11. Monetisation of site Funnelback Best Bet feature Context aware results Personalised, targeted content A better search experience speeds up decision making and speed to purchase 11
  • 12. Searchers are successful in finding what they seek 50% of the time or less. ◦ 2001, IDC, “Quantifying Enterprise Search”  More than half cannot find the information they need using their Enterprise search system ◦ 2011, MindMetre/SmartLogic, “Mind the Enterprise Search Gap” 12
  • 13.  Virtual deployment  3 million documents and counting  Full disaster recovery in <10 minutes  Intelligently aggregating several systems 1000‟s of websites Research database Documentum SharePoint 13
  • 14. “Search-based applications … deliver a purpose-designed user interface tailored to support a particular task or workflow.” ◦ 2010 how IDC describes search-based applications 14
  • 15. Courses are a Universities „product‟ A separation between course and website results Funnelback crawling website and databases Presenting „compare the market‟ for courses A better search experience speeds up decision making and speed to purchase 15
  • 16. 16
  • 17. Engage through a curated and intuitive journey  Bring simplicity to chaos  Provide human sensibilities during the process  Create an emotional bond through search intimacy  Design must touch every aspect of the UX 17
  • 18. 18
  • 19. 19
  • 21. Gain a true understanding of the problem  Breaking it down into small „chunks‟  Delivering in phases  Iterative testing throughout 21
  • 22. Combining Funnelback‟s advanced technology ◦ Query blending of the results set ◦ Fine tune  With advanced design  To create enviable navigation paths ◦ Advanced auto-complete ◦ Faceted navigation ◦ Context aware results 22
  • 23. The biggest challenge is often normalising results from many systems into one result set  Is not straightforward  Is not solved via a big-bang approach  Requires a lot of planning  Requires significant input from the data‟s owner  But…….it can be successful 23
  • 24. 24
  • 25. 25
  • 26. 26
  • 27. Matt Taylor, Funnelback UK  mtaylor@funnelback.com  @mattletaylor 27