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1. Kristian Norling, Intrantverk 2013, 23 May, Gothenburg,
SwedenOPTIMISING YOUR CONTENT FORFINDABILITY
2. #intranatverk@kristiannorling@intranatverk
3. Who is here? Your expectations? Kristian? 3 hours One 20
minute break 14.30 Lifetime answer Guarantee on this
classIntroduction
4. THE ENTERPRISE SEARCH ANDFINDABILITY SURVEY/REPORTSIGN-UP
& DOWNLOAD 2012 REPORT
5. As the amount of content continues to increase,
newapproaches are required to provide good userexperiences.
Findability has been introduced as a newterm among content
strategists and informationarchitects and is most easily explained
as :A state where all information is "ndableand anapproach to
reaching that state.Search technology is readily used to make
information"ndable, but as many have realizedtechnology alone
isDescription
6. Search engine optimisation is one aspect of "ndabilityand
many of the principles from SEO works in aintranet or website
search context.Getting "ndability to work well for your website
orintranet is a di$cult task, that needs continuous
work.Description
7. We will start some very brief theory and then use
realexamples and also talk about what organisations thatare most
satis"ed with their "ndability do.TopicsEnterprise Search Engines
vs Web SearchGovernanceOrganisationUser involvementOptimise Content
for "ndabilityMetadataBrief Outline
8. Source: The Enterprise Search and Findability Report 2012IS
IT EASY TO FIND THE RIGHTINFORMATION WITHIN YOUR
9. EUROPE77%MODERATELY/VERY HARD
10. WHAT ARE THE OBSTACLESTO FINDING THE RIGHTINFORMATION?
11. EUROPE64.2% POOR SEARCH FUNCTIONALITY47.7% LACK OF ADEQUATE
TAGS48.6% INCONSISTENCY IN HOW WE TAGCONTENT47.7% DONT KNOW WHERE
TO LOOK
12. Source: IntranetFocusDATE -THE SILVER BULLET OF
ENTERPRISE
13. Source: Julie HuntENTERPRISE SEARCH:UN-COOL AND MISSION
CRITICAL
14. In Academia search is called InformationRetrieval.It is an
old discipline, dating backthousands of years...Basic concepts in
Information Retrieval:Recall and Precision, more later...History of
Search
15. Enterprise search is the practice ofmaking content from
multipleenterprise-type sources, such asdatabases and intranets,
searchable to ade"ned
audience.http://en.wikipedia.org/wiki/Enterprise_searchWikipedia
De"nition
16. In the "eld of information retrieval, precision is
thefraction of retrieved documents that are relevant to
thesearch.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 thesystem. This measure is called
precision at n or P@n.Source: WikipediaThe Concept of
EnterpriseSearch: Precision
17. Recall in information retrieval is the fraction of
thedocuments that are relevant to the query that aresuccessfully
retrieved.For example for text search on a set of documents
recallis the number of correct results divided by the numberof
results that should have been returned.Source: WikipediaThe Concept
of EnterpriseSearch: Recall
18. M number ofrelevant documentsN number ofretrieved
documentsR number ofretrieved documentsthat are also
relevantPrecision and Recall
19. Recall = R / M =Number of retrieved documents that arealso
relevant / Total number of relevantdocuments.Precision = R / N
=Number of retrieved documents that arealso relevant / Total number
of retrieveddocuments.Precision and Recall
20. ...enterprises typically have to use other
query-independent factors, such as a documents recency
orpopularity, along with query-dependent factorstraditionally
associated with information retrievalalgorithms. Also, the rich
functionality of enterprisesearch UIs, such as clustering and
faceting, diminishreliance on ranking as the means to direct the
usersattention.RelevanceSource: Wikipedia
21. PageRank
22. Enterprise data simply isnt like web orconsumer data its
characterised byrarity and unconnectedness rather thanpopularity
and context.Charlie Hull, Flax BlogWeb/Consumer Data vs
23. We do not have PageRank......but we have the bene"t of
social!CMSWire: Social Reconnects Enterprise SearchEmails, People
Catalogues, Connections, Tagging,Sharing etc.Relevance
24. The Concept of Enterprise Search
25. Organisation Resources!IntranetFocus: Enterprise Search
Team Management Work with all Stakeholders = The
wholeorganisationDe"ne processes, roles and routines togovern the
solution Help publishers get started by creatingprocesses for
better "ndability Create easy to use administrationinterfaces
26. Amongst the organisations that are very satis"ed withtheir
search, they have a (larger) budget, moreresources and
systematically work with analysingsearch.As many as 45% of the
respondents have no separatebudget for search, but 20% have had a
budget for 3years or more. In the group with no budget 56% arevery
or mostly dissatis"ed with their current search.The dissatisfaction
with search drops to 30% for thoseorganisations with a dedicated
budget for search. InSurvey Results of Budget and
27. In the Very Satis"ed (VS) with their current searchgroup,
the number of Full Time Equivalents (FTE) is 1-2or more. 67% of VS
and 71% of the mostly satis"ed groups dosearch analytics 50% do
user testing regularly in the very satis"edgroup 83% (VS) have a
person or group that is responsiblefor analysing user behaviour and
to make sure thatsearch supports the business needsWhat Does the
Organisations Do
28. Search Manager Search Technology Manager Information
Specialist Search Analytics Manager Search Support ManagerBy Martin
White, IntranetFocusSearch Team
29. Organisation Not a project! Time and Money important
Measure, KPIs/Search AnalyticsCIO.com: How to Evaluate Enterprise
SearchFindability Blog: Building a Business Case forEnterprise
Search
30. CONTENT STRATEGY@jcolman: How to Build SEO into Content
Strategy
31. Governance Information Quality, with KPI Metadata Quality,
with KPI Information Lifecycle Management- Time to live for
di!erent contenttypes- Archive, delete or keep? SimCorp example
Search Analytics on regular basis
32. User Involvement Get to know your users and their needs
Make sure your solution is easy to use Perform continuous usability
evaluations, likeusage tests and expert evaluations Make sure users
"nd what they are looking for Enable feedback loops for
complaints,feedback and praise Examples: Nordea, VGR and many
more
33. Good Data/Information hygiene Crap in = Crap out Metadata
is very important!Presentation: Taxonomy and Metadata
demysti"edVideo: TetraPak exampleVideo: VGR exampleInformation
34. Information Clean up and archive or delete
outdated/unrelevant information Ensure good quality of information
byadding structured and suitable metadata Information Architecture
and taxonomiesEarly & Associates: 10 Common Mistakes
WhenDeveloping Taxonomies TaggingPresentation: Social Tagging,
FolksonomiesControlled Vocabularies
47. Know what information is mostwanted and work with that
Promote information when it is indemand Are search queries
seasonal? Find synonymsActions to take
48. ...Fix 0-results...Check common terms...Cluster
synonyms...Use Key Matches / Best Bets /Sponsored LinksDo
49. A FEW HOURSEVERY MONTH,CAN DELIVERGREAT RESULTS!
50. ...Check user behaviour?...Research in what context?...Look
at trending/temporal termsDo - bonus
51. ...Forget to work with your content...Forget
metadata...Only use search analytics - combine withweb analyticsDo
not
52. SEARCH ANALYTICS FOR YOUR SITEConversations with Your
Customersby LOUIS ROSENFELD@louisrosenfeldFantastic book
53. Involve the users (and stakeholders!) Allow user input
(forms) Training for editors and publishers Set up simple
guidelines (E&Y) Lifecycle Manage Information Do Search
Analytics Measure and follow-upSummary
54. Create an information architecture or at least acontent
model, answering the questions; What goeswere, what information are
related and how should itbe possibly to access the information?
Ensure that allinformation is mapped in this manner and if new
typesof information arise that doesnt "t the model, reviseand
restructure (not refactor). Make sure thatinformation architecture
is not optional butmandatory.Bonus (SharePoint) tip 1
55. The way forward in a more complex informationlandscape is
metadata and search. Use the term storeto create taxonomies and
metadata structures, add asmuch needed information as possible and
apply themto the information through the content types in SP, toall
the information.Applied term store information can be
directlyaccessed via search as facets which is a very powerfultool
to quickly navigate to the correct information. Theterm store also
gives you other possibilities to createBonus (SharePoint) tip
2
56. Socialise your content and make sure that user inputcounts
towards search relevance and the overallinformation architecture.
User input can be manifestedas explicit or implicit. Explicit as
likes or comment onthe information, implicit via search logs. The
explicitinput is quite straight forward but might need a
criticalmass to become relevant e.g. More likes = higherrelevance.
Implicit via search logs needs more analysisbut will give more
leverage.Bonus (SharePoint) tip 3