Competitive intelligence

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Albert Simard Presented to Canadian Knowledge Mobilization Forum Mississauga, ON June 3-4, 2013 Competitive Intelligence: An Island of Structure in an Unstructured Ocean

description

Shows that analysis is primarily a human endeavor with only a minority of technical elements.

Transcript of Competitive intelligence

Page 1: Competitive intelligence

Albert SimardPresented to

Canadian Knowledge Mobilization ForumMississauga, ON June 3-4, 2013

Competitive Intelligence: An Island of Structure in an Unstructured Ocean

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Diversity of Perspectives

What analysts proposed What managers funded

What the data supported What users needed

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Some DefinitionsAnalysis: Using deductive reasoning to differentiate, study, and interpret data, information, or knowledge to deduce deeper or more precise meaning or understanding.

Synthesis: Using inductive reasoning to integrate, study, and interpret the collective functioning of many parts as a whole to infer broader or higher-level meaning or understanding.

Intelligence: Acquiring, extracting, and interpreting data, information, or knowledge to reveal underlying patterns about a situation or issue of interest to an organization.

People tend to be good at either analysis or synthesis; few are good at both.

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Analysis is a Diverse Human ActivityBegins with a management decision to proceed.

Collects content from people and organizations.

Organizes content based on individual perspectives.

Classifies issues based on human understanding.

Selects analytical methods using expert knowledge.

Interprets results through cognitive reasoning.

Validates results through dialogue and collaboration.

Authorizes implementation with another decision.

Continues by monitoring, learning, and adapting.

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Intelligence Framework

Direction

Collection

Organization

Analysis

Implementation Larry Kahaner (1996)

M. C. Escher (1957)

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Decision & Planning

Human elements

Start

Determine Objectives

Decision

Approve Decision

direction need

PlanCollaborationNegotiation planning apps

Identify Need

Expertise Collaboration

Work Service

PlanCollaboration Negotiation planning apps.

Document Office apps.template

Analysis Project

Store Repository

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Decision Making

Work Service

reject

perspectives Collaboration

modify?

Review

Schedule

Submit

Consider

Record of Decision Action

Collaboration

approveEnd

Store

Decide

Repository

Recommend

Revise

Office apps.

template

Human elements

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Spectrum of Evidence

mathematics, logic, proof

science, engineering, technology

statistics, data, facts, measurement

collaboration, validation, management

expertise, experience, judgement

opinion, perception, bias

belief, emotion, values

Quantitative (irrefutable)

Qualitative (no evidence)

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Decision Maker DiversityAccountable for actionsSituational pressureBroader view than analysisOrganizational infrastructure Depth of understanding Involvement in planningConfidence in resultsRisk tolerancePrevious experienceBelief systemEmotions

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Intelligence Framework

Direction

Collection

Organization

Analysis

Implementation M. C. Escher (1957)

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Supply and DemandSupply: What can I do with the available data?

(Intelligence)

Demand: What data do I need to solve a problem?

(Regulation)

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Environmental Monitoring*

*Ad Hoc

Cyberspace

MediaPublished Literature

Conferences Experience

Individuals

Ad hoc

Communities of practice

Practitioners

AccessAttend

Participate

SolicitReceive

Discover

Review

Monitor

search filter scan

Research

Analysis

Office apps. template.

Organization

Document

Store Repository

Sharing, Expertise Web portal

Corroborate

Work Service

Human elements

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Knowledge Mobilization*IssueInternal sources

Infrastructure Content Environment Resources Culture

External sources

Agreements, Content, Environment, Resources, Society

AcquireCompile

internal Expertise Sharing Web portal Search engine

external Expertise Sharing Web portalSearch engine

Organization

ProcessData mgt. Content mgt.

Integratesystems analysis decision apps.

DocumentOffice apps. templates

InterpretSocial structure Collaboration Expertise

Work Service*Directed Human elements

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Content SourcesPublic DomainGovernment DocumentsAnnual reportsAnalyst reportsPublic databasesSpeechesBroadcast media Print mediaTrade associationsWorld-Wide Web

Non-Public Domain

Change of statusHuman intelligenceTrade showsAsk employeesAsk clientsObservationAerial survey

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Autonomous Sources

Diversity - mandate, jurisdiction, domain, function

Openness - security, privacy, control, property

Legal - accountability, responsibility, liability

Certification - inclusion, authenticity, reliability

Quality - completeness, timeliness, accuracy

Infrastructure - standards, networks, systems

For Supply, know the limitations; for Demand, specify in advance

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Source DiversityIncreased visibility, awareness, or influenceSeen as active and competent playerFeedback on user needs and applicationsLeverage the value of organizational resourcesIncrease partnership and business opportunitiesOrganizational business or mandateInfluencing attitudes, opinions, or behavior Advocating a position, agenda, or policy Intervening in stakeholder or social activity

Passive

Active

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Collecting Content Content Objects Data Information Knowledge

Source Jurisdiction

Organization Function Domain

Process Physical Biological Environmental Social Economic Organizational

Integration

Collect

Standardize

Web portal Search engine Expertise Repositories

Web portal Search engine Expertise Repositories

CollectStandardize

Content Mgt. Standards

Content Mgt. Standards

Human elements

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Integrating Content

Input

Synthesize

Analyze

Interpret

Store Repository

synthesis apps.

analysis apps.Social structures Expertise CollaborationOffice apps. templatesDocument

Work Service

Analysis Human elements

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Intelligence Framework

Direction

Collection

Organization

Analysis

Implementation M. C. Escher (1957)

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Organizing Diversity Library catalogues

Subject indexes

Taxonomies

Folksonomies

Automated methods

Artificial intelligence

Interdisciplinary issues

Linguistic issuesAuthors and users often classify content differently

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Storing Content

Information technology and network infrastructure

Systems for archiving and managing content

Interfaces for entry, retrieval, & administration

Database, data warehouse, distributed databases

Information repository, information system

Knowledge repository, knowledge map

Physical libraries, digital libraries

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Retrieving Content Access to content

Browser interface

Search engine

Extraction tools

Manipulation tools

Assembly tools

Retrieval system

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System User Diversity

Tools that are easy and intuitive use.

System interfaces that can be customized.

Systems that help people do their work.

Content that is easy to find and access.

Work processes that facilitate knowledge flow.

Knowledge flow that is primarily horizontal.

User diversity and flexibility are encouraged.

System design plays a key roll in how people use systems.

User-centric design can double the use of a system

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Intelligence Framework

Direction

Collection

Organization

Analysis

Implementation M. C. Escher (1957)

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Problem Space

Adapted from Kurtz and Snowden (2003)

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Analysis MethodsComputer modelDecision analysisDeterministic modelDynamic modelDynamic programmingEmpirical modelGamming modelLinear programmingLogical model Mathematical model Mechanistic model

Mental modelNonlinear programmingOperations researchPhysical modelQueuing modelScenario analysisScientific modelSimulation modelStatic modelStatistical modelStochastic modelAn inappropriate method may yield an

elegant solution to an irrelevant problem

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Analyst DiversityObjective Criteria

Problem spaceType of problemAvailable techniques

Subjective CriteriaAwarenessDiversity SkillExperienceExpertiseMental modelBelief Good analysts are born, not made

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Analysis Principles• Resources are required: time, effort, expertise, funding,

capacity, technology, data, knowledge • Complexity is inherent: analysis is non-linear, involves

feedback, iterations, delays, and uncertainty• Modeling is known: techniques are well-understood;

extensive literature for most disciplines• Management perspectives: understanding, trust, confidence,

liabilities, risk, externalities • Implementation is uncertain: decision making, stakeholder

interests, unknown outcomesAnalysis combines science & computers; skill & technique, judgement & experience; insight & intuition.

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Analysis Process

Hierarchy Relationships Indicators ReviewLogic Computation Debugging Review

Conceptualization

Construction

Execution

Attributes ConsistencyReview

Uncertainty Representation Review

Verification

Validation

Output

Content

Human elements

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Intelligence Framework

Direction

Collection

Organization

Analysis

Implementation M. C. Escher (1957)

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Implementation

Communication

Role Governance Accountability Compatibility Indivisibility Situation

Outcome

Policies Mandate Infrastructure Plan

Execution

LiabilityDecisionLegal Social Economic Organizational

Interaction

Authority

Sharing Collaboration Negotiation Competition

Awareness Understanding AgreementParticipation

Human elements

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Competitive Intelligence is an Island of structure in an unstructured ocean

• Managers • Sources• Librarians• System users • Analysts• Interaction

[email protected]

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