Search Experience Management - Techniques for Search Success
Search Success in 2016 - Recap of ESE2015
-
Upload
jeff-fried -
Category
Software
-
view
356 -
download
0
Transcript of Search Success in 2016 - Recap of ESE2015
ESE 2015 recap – Themes and Observations
Search Success in 2016
Jeff FriedCTO, BA Insight
2
We Haven’t Discussed- Failure- Futures
We’ve Discussed
- some GREAT success stories- success factors- some technology and techniques
ESE 2015 Themes
The Enterprise Search Promise
RDBMS(JDBC, ODBC,
SQLNet, DW, DM)
Applications(e.g. ERM, CRM,
Help Desk)
Legacy Data(e.g. ISAM, VSAM, IMS)
Message Queues(e.g. TIBCO, MQ-Series)
DMS(e.g. M’Soft CMS,
Documentum)
eMail Systems(e.g. Notes,Exchange)
Files(e.g. Word, Excel,pdf, images, mp3)
Portals(e.g. WebSphere,
WebLogic)
WWW(HTML, XML, WML,
JavaScript)
Private Webs(e.g. news feeds,
Intranets)
Direct Push
UNSTRUCTUREDSTRUCTUREDREAL--TIME
Enterprise Search Platform
SITE
SEA
RCH
MAI
L SE
ARCH
BI S
EARC
H
DMS
SEAR
CH
CORP
ORAT
ESE
ARCH
ECOM
MER
CESE
ARCH…
4
Search for agile integration / aggregation Ownership, staffing, change management Context and tailored search experiences Efficiency and Risk Avoidance Open source and/or commercial products
Themes over the last 2 days
5
Findwise 2015 “findability maturity model”
Choose a new Search
Engine
Try and Index all
your content
Users Complain they can’t
find anything
Attempt to Tune
Relevancy and ask
users to tag
Determine the
problem is the search
engine
Search Immaturity Model
SurveysQuestionnairesFeedback
The problem must be the content is not indexed
RFI/RFP
FrustrationRoot Cause Analysis
Attempt Fix
Request Feedback
The Enterprise Search Cycle
?
EnvironmentWork Task
Situ
ati
on
User
Repository
Outcome
DateFormat
LanguageGenre
Authenticity
TopicDomain
ObjectiveTypeSolution
DomainWorkplace CultureManagerial factorsOrganizational factors
DistractionInterruptionTime
OrientationOverviewEvidence
ExplanationInstructionsDefinition
KnowledgeExperience MotivationPhysical abilityCognitive abilityLearning styleMental Model
Interface
Search Task
Source: Adapted from Toms (2011). Task-based information searching and retrieval inRuthven & Kelly (eds.) Interactive Information Seeking, Behaviour and Retrieval, p. 49
Context for search is … complicated
Mobile
, Con
text-
Aware
, Dev
ice-
Indep
ende
nt
Massive
ly
Scalab
le Data
Analyti
cs in t
he
Cloud
Social, User
Behavior
Analytics for
PersonalizationTechnolog
y Expectati
ons
End-User Expectations Consumerization
of IT & Intuitive User
Experience
Commoditization of Search Engines
Structured AND
Unstructured
BIG DATA
The Concierge
The Butler
Soon?
Will you take back to your organization from ESE 2015?
Do you think should be even better at ESE 2016?
What