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INTRODUCTION TO ENTERPRISE
SEARCH
Kristian Norling
Hikingartist
• Problem
• Web search
• How we search and !nd?
• Current state of Enterprise Search + stats
• Technical concept
• Information quality
• Feedback cycle
Agenda
•List
mrflip
nathansnider
erikref
Finding something when I
know what I want and have
words to describe it.
Four modes of seeking information
Exploring when I only have
some idea of what I want and
may lack the words to
articulate it.
Four modes of seeking information
Finding relevant items when I
don’t know what I need.
Four modes of seeking information
Finding something I have seen
before, but can’t remember
where.
Four modes of seeking information
•Amount of information is growing
everyday
•What to Search for?
•Where to Search?
•How to Search?
•Search is simple, complex and powerful
•Findability Dimensions
The State of Enterprise Search
STATS FROM THE
“ENTERPRISE SEARCH AND
FINDABILITY SURVEY 2013”
DOWNLOAD REPORT
HOW CRITICAL IS FINDING
THE RIGHT INFORMATION
TO BUSINESS GOALS AND
SUCCESS?
EUROPE
76.5%
IMPERATIVE/SIGNIFICANT
Zoom Zoom
IS IT EASY TO FIND THE
RIGHT INFORMATION
WITHIN YOUR
ORGANISATION TODAY?
EUROPE
77%
MODERATELY/VERY HARD
LEVEL OF SATISFACTION?
proimos
EUROPE
18.5%
MOSTLY/VERY SATISFIED
WHAT ARE THE OBSTACLES
TO FINDING THE RIGHT
INFORMATION?
63.4% POOR SEARCH FUNCTIONALITY
52.1% DON'T KNOW WHERE TO LOOK
51.4% INCONSISTENCY IN HOW WE TAG
CONTENT
50.0% LACK OF ADEQUATE TAGS
33.1% DON’T KNOW WHAT TO LOOK FOR
Globally
“Enterprise search is the practice of making content from multiple
enterprise-type sources, such as databases and intranets, searchable to
a de!ned audience.”
http://en.wikipedia.org/wiki/Enterprise_search
Wikipedia De!nition
In the !eld of information retrieval, precision is the
fraction of retrieved documents that are relevant to the
search.
Precision takes all retrieved documents into account,
but it can also be evaluated at a given cut-o" rank,
considering only the topmost results returned by the
system. This measure is called precision at n or P@n.
Source: Wikipedia
The Concept of Enterprise
Search: Precision
Recall in information retrieval is the fraction of the
documents that are relevant to the query that are
successfully retrieved.
For example for text search on a set of documents recall
is the number of correct results divided by the number
of results that should have been returned.
Source: Wikipedia
The Concept of Enterprise
Search: Recall
M number of
relevant documents
N number of
retrieved documents
R number of
retrieved documents
that are also relevant
Precision and Recall
PageRank
We do not have PageRank...
...but we have social!
Social Reconnects Enterprise Search
Emails, People Catalogues, Connections, Tagging, Sharing etc.
Relevance
The Concept of Enterprise Search
Examples of implementations:
- People Search
- Product Search
- Document Search
- Intranet and Website Search
- E-commerce
- Dashboard / Search as a Service
Search based Solutions
• Good Data/Information hygiene
• Crap in = Crap out
• Metadata is very important!
• Taxonomy and Metadata demysti!ed
• TetraPak example (video)
• SimCorp example
• VGR example (video)
Information / Content
•List
yeraze
svenwerk
HCE (SWEDEN)
DEWEY DECIMAL CLASSIFICATION
KristianNorling
Author: Douglas Coupland
Title: Hej Nostradamus!
Publisher: Norstedts
Printed by: Smedjebacken
Year: 2003
Printed: 2004
KristianNorling
Metadata
Semantic
KristianNorling
Example: Ernst & Young
• Metadata
• Titles
• Content Quality
• Information Life Cycle Management
ESEO: Actionable activities
But, an average Search budget is 100K Euro
• TCO
• ROI
• KPI
Search Analytics is key
Show me the Money
Important, delivers actionable to-dos quickly
•0-results
•Top Terms Searched for
Video: Search Analytics in Practice
Search Analytics
• Feedback form
• KPI from Search Analytics
• Session time x n:o sessions = Time spent
on search x hourly price = Cost per
“answer”
• Add search re!nements + exit page (=is
the right answer)
User Satisfaction
Findability by Findwise
1. BUSINESS
BUILD SOLUTIONS TO SUPPORT YOUR BUSINESS PROCESSES
AND GOALS
2. INFORMATION
PREPARE INFORMATION TO MAKE IT FINDABLE
3. USERS
BUILD USABLE SOLUTIONS BASED ON USER NEEDS
4. ORGANISATION
GOVERN AND IMPROVE YOUR SOLUTION OVER TIME
5. SEARCH TECHNOLOGY
• Analyze how your business goals and
strategies can be met by improved
information access
• Set Findability goals. Examples; increase the
revenue on sales, raise productivity, improve
knowledge sharing, better collaboration
• Specify your requirements
• De!ne KPI’s and measure the success of your
investments
Business
• Clean up and archive or delete outdated/
unrelevant information
• Ensure good quality of information by
adding structured and suitable metadata
• Create and use information models and
taxonomies
• Tagging?
Information
• Get to know your users and their needs
• Make sure your solution is easy to use
• Perform continuous usability evaluations,
like usage tests and expert evaluations
• Make sure users !nd what they are looking
for
• Enable feedback loops for complaints,
feedback and praise
Users
•List• Resources!
• De!ne processes, roles and routines to
govern the solution
• Perform Search Analytics
• Create easy to use administration
interfaces
• Perform training, technical and editorial
• Help publishers get started with processes
for better !ndability
Organisation
•List• Select a suitable search platform or make
the most of your current solution
• Design your architecture with search-as-a-
service in mind
• Utilise the full potential of the selected
technology
Search Technology
Kristian Norling
LinkedIn
@kristiannorling
www.intrateam.se
norling.co
KRISTIAN NORLING

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Introduction to enterprise search for intranets and websites

  • 3. • Problem • Web search • How we search and !nd? • Current state of Enterprise Search + stats • Technical concept • Information quality • Feedback cycle Agenda
  • 7. Finding something when I know what I want and have words to describe it. Four modes of seeking information
  • 8. Exploring when I only have some idea of what I want and may lack the words to articulate it. Four modes of seeking information
  • 9. Finding relevant items when I don’t know what I need. Four modes of seeking information
  • 10. Finding something I have seen before, but can’t remember where. Four modes of seeking information
  • 11. •Amount of information is growing everyday •What to Search for? •Where to Search? •How to Search? •Search is simple, complex and powerful •Findability Dimensions The State of Enterprise Search
  • 12. STATS FROM THE “ENTERPRISE SEARCH AND FINDABILITY SURVEY 2013” DOWNLOAD REPORT
  • 13. HOW CRITICAL IS FINDING THE RIGHT INFORMATION TO BUSINESS GOALS AND SUCCESS?
  • 16. IS IT EASY TO FIND THE RIGHT INFORMATION WITHIN YOUR ORGANISATION TODAY?
  • 21. WHAT ARE THE OBSTACLES TO FINDING THE RIGHT INFORMATION?
  • 22. 63.4% POOR SEARCH FUNCTIONALITY 52.1% DON'T KNOW WHERE TO LOOK 51.4% INCONSISTENCY IN HOW WE TAG CONTENT 50.0% LACK OF ADEQUATE TAGS 33.1% DON’T KNOW WHAT TO LOOK FOR Globally
  • 23. “Enterprise search is the practice of making content from multiple enterprise-type sources, such as databases and intranets, searchable to a de!ned audience.” http://en.wikipedia.org/wiki/Enterprise_search Wikipedia De!nition
  • 24. In the !eld of information retrieval, precision is the fraction of retrieved documents that are relevant to the search. Precision takes all retrieved documents into account, but it can also be evaluated at a given cut-o" rank, considering only the topmost results returned by the system. This measure is called precision at n or P@n. Source: Wikipedia The Concept of Enterprise Search: Precision
  • 25. Recall in information retrieval is the fraction of the documents that are relevant to the query that are successfully retrieved. For example for text search on a set of documents recall is the number of correct results divided by the number of results that should have been returned. Source: Wikipedia The Concept of Enterprise Search: Recall
  • 26. M number of relevant documents N number of retrieved documents R number of retrieved documents that are also relevant Precision and Recall
  • 28. We do not have PageRank... ...but we have social! Social Reconnects Enterprise Search Emails, People Catalogues, Connections, Tagging, Sharing etc. Relevance
  • 29. The Concept of Enterprise Search
  • 30. Examples of implementations: - People Search - Product Search - Document Search - Intranet and Website Search - E-commerce - Dashboard / Search as a Service Search based Solutions
  • 31. • Good Data/Information hygiene • Crap in = Crap out • Metadata is very important! • Taxonomy and Metadata demysti!ed • TetraPak example (video) • SimCorp example • VGR example (video) Information / Content
  • 34. HCE (SWEDEN) DEWEY DECIMAL CLASSIFICATION
  • 36. Author: Douglas Coupland Title: Hej Nostradamus! Publisher: Norstedts Printed by: Smedjebacken Year: 2003 Printed: 2004 KristianNorling
  • 38. Example: Ernst & Young • Metadata • Titles • Content Quality • Information Life Cycle Management ESEO: Actionable activities
  • 39. But, an average Search budget is 100K Euro • TCO • ROI • KPI Search Analytics is key Show me the Money
  • 40. Important, delivers actionable to-dos quickly •0-results •Top Terms Searched for Video: Search Analytics in Practice Search Analytics
  • 41. • Feedback form • KPI from Search Analytics • Session time x n:o sessions = Time spent on search x hourly price = Cost per “answer” • Add search re!nements + exit page (=is the right answer) User Satisfaction
  • 42. Findability by Findwise 1. BUSINESS BUILD SOLUTIONS TO SUPPORT YOUR BUSINESS PROCESSES AND GOALS 2. INFORMATION PREPARE INFORMATION TO MAKE IT FINDABLE 3. USERS BUILD USABLE SOLUTIONS BASED ON USER NEEDS 4. ORGANISATION GOVERN AND IMPROVE YOUR SOLUTION OVER TIME 5. SEARCH TECHNOLOGY
  • 43. • Analyze how your business goals and strategies can be met by improved information access • Set Findability goals. Examples; increase the revenue on sales, raise productivity, improve knowledge sharing, better collaboration • Specify your requirements • De!ne KPI’s and measure the success of your investments Business
  • 44. • Clean up and archive or delete outdated/ unrelevant information • Ensure good quality of information by adding structured and suitable metadata • Create and use information models and taxonomies • Tagging? Information
  • 45. • Get to know your users and their needs • Make sure your solution is easy to use • Perform continuous usability evaluations, like usage tests and expert evaluations • Make sure users !nd what they are looking for • Enable feedback loops for complaints, feedback and praise Users
  • 46. •List• Resources! • De!ne processes, roles and routines to govern the solution • Perform Search Analytics • Create easy to use administration interfaces • Perform training, technical and editorial • Help publishers get started with processes for better !ndability Organisation
  • 47. •List• Select a suitable search platform or make the most of your current solution • Design your architecture with search-as-a- service in mind • Utilise the full potential of the selected technology Search Technology