Technology Watch process in context: Information Systems (SI), Economic Intelligence (EI) and Knowledge Management (KM)

Technology Watch process in context:

Information Systems (SI), Economic Intelligence (EI) and Knowledge Management (KM)

S

In prologue…

TW in context of 5 items:

Information systems (IS)

Economic (or Competitive) intelligence (EI / CI) Communication between IS and CI

Knowledge Management (KM) implication

1.

Information system (IS)

Concepts, processes, constraints, integrity and management

1.

Information system

Organized set of resources

hardware, software, human, data and processes acquire, treat/process, store and communicate information in the organization

Language of communication in the organization

Intelligent means/tools

automation/ automatic processing (computers)

data management ( ⊥ information and ⊥ knowledge)

(Man-Machine) communication

Information system

IS performs 4 functions:

Collect: polymorphism on data (time, location, abstraction)

Preservation : re-use and memory support(s)

Transformation : synthesis and interpretation(s)

Dissemination : interoperability of data (read, search,

retrieve, share)

Information system

IS process vs. Human IS

(First) automating (human) tasks

(Then) processes in technological systems

No IS

(no desire) communication between actors

(no platform) organization and capitalization (data)

Valid assumption: manipulate (data) is a process

Internally: the company inquires about itself and its environment ( collect) Externally: the company informs its environment on itself ( diffuse)

Information system

Interoperability

Specific functional logic

Semantic

Affiliation logic

Sharing: Read / Write

Safety locks: hierarchy among actors

Information system

(data)

Management

Examples on

data

(in Bank Management)

Process Management customer resources Head Manager, others

PROCESS DATA DATA

NEED(S) ANSWER(S)

CORRECTION(S)

Control Management

who is a millionaire in my bank?

1

2

DATA =

SELECT * FROM customer WHERE account >= 106

3 DATA = Nicolas Dupond … 1.159.860, 00 Anne Fontaine… 2.789.735,08 4 DATA = n x106 n= {1, 2, 3, …}

Information System?

A combination of

hardware, software,

infrastructure and trained personnel

organized to facilitate planning, control, coordination, and decision making in an organization. (Google, 2012)

2.

Competitive intelligence systems (CIS)

2.

Competitive Intelligence System

Architecture

Iterative Process

1. Identifying and Defining a decisional problem

2. Translating of the decision problem into an information search problem

3. Identification and validation of information sources

4. Collect and validation of information

5. Processing and Analysis for calculating Indicators 6. Presentation of Information and Sharing

7. Interpretation (from information represented to strategic choices) 8. Decision Making DM→ W W→ A,W A→ W,DM DM→ DM Actors Actions 1 2 3 4

Constraints

Competitive Intelligence?

A systematic and ethical program for

gathering

,

analyzing

, and

managing

external information

that can affect your

company's plans, decisions, and operations.

3.

Communication between IS and CIS ?

(structured) Data vs. (unstructured) Information Management of Processes vs. Iterative Processes (implicit) Watch process vs. (explicit) Watch process

Management of Responsibilities vs. Management of Actors

…

New needs: central process for communicating IS and CI Granularities: data (D), information (I) and knowledge (K)

3.

IS and CI ?

Communication architecture

(data, information & knowledge)

W(d) W(i) IS CIS W(k) KMS 1 2 projection(d,k) projection(i,k) d: data i: information k: knowledge S

4.

Dimensions of the KM problem

Issue(s)/Problematic(s) and dimensions : Information, actor, knowledge and decision

data (D), information (I) and knowledge (K) D ⇒⇒⇒⇒ K ⇒⇒⇒⇒ I | I ⇒⇒⇒⇒ K ⇒⇒⇒⇒ D | K ⇒⇒⇒⇒ I & K ⇒⇒⇒⇒ D … Study objects W (D) , W (I) and W (K) Communication by processes: IS ⇔⇔⇔⇔ ( KM ) ⇔⇔⇔⇔ CI

Knowledge Management : to include actors (D, I, K…)

relevant information ⇒⇒⇒⇒ _{added values} ⇒⇒⇒⇒ _{strategic choice(s)} ⇒⇒⇒⇒ _decision

4.

KM to communicate: IS and CI

Information (data in the context & content information)

Actors (profile information, activities and actions)

Knowledge (formal representations and processing)

Decision (relevant information, Added Values ⇒ _{strategies and action})

KM to communicate: IS and CI

Outils GED+V Content DB Outil de veille Agent intelligent sur Internet Ressources & Archives (ouvertes) Banque de données Informations sur Internet Informations Primaires

Informations Secondaire & Tertiaires

(I) Dimension:

– Données/statistiques/graphiques/… – Ressources/rapports/…

– Séquences multimédia/images/… – F. veille/ Notices biblio./…

– etc.

Acteur/ User

– Intellect, Culture & Compétences – etc.

K

I

U

= collecte + analyse/traitement + partage (Processus de veille)

Effort intellectuel (Homme)

Effort de l’outil KM (Machine)

Projection de U en K

=

Filtrage collaboratif

(Processus du Web Intelligent)

Profil explicite (Homme) Profil calculé des acteurs (Machine)

Outils KM

Capitalisation (U,K) + (I,K)

K

I

U

D

Projections (U,K) →D Outils WI

Projections corrélées (I,K) (U,K) →D KM SI IE Projections (I,K) → D Outils GED+V (Knowledge) (User) (Information) (Decision) [SIDHOM, 2010]

Décision/ Decision

Knowledge management (KM)?

Knowledge Management is the name of a concept in which an enterprise

consciously and comprehensively (= process)

gathers, organizes,

shares, and

analyzes

its knowledge in terms of resources, documents, and

people skills.

5.

I.

« ChroniSanté » an information system for

decision support

II.

Methodology and tools

III.

Results

I.

« ChroniSanté » an information system for

decision support

II. Methodology and tools (1)

Economic Intelligence (EI) Process

1°/ Watcher Information and Search Problem (WISP Model)

Analytic Dimension : Demand, Issue and Context

Methodological dimension : decision problem into information retrieval (IR) problems

Operational dimension : selection of plan action and the implementation steps

II. Methodology and tools (2)

Information filtering Process

2°/ Utilization of NooJ a language environment for natural

language processing (NLP)

Morpho-syntactic analysis strategy of the corpus

Extensional Logic Level (Colosed Predicates)

All objects

Intensional Logic Level (Properties)

No objects

Transition Logic Level (Open Predicates) Set of objects NP D’ N' N SP N EP

Extensional Logic Level (Colosed Predicates)

All objects

Extensional Logic Level (Colosed Predicates)

All objects

Intensional Logic Level (Properties)

No objects

Intensional Logic Level (Properties)

No objects

Transition Logic Level (Open Predicates)

Set of objects

Transition Logic Level (Open Predicates) Set of objects NP D’ N' N SP N EP NP D’ N' N SP N EP NooJ grammar NP grammar

II. Methodology and tools (3)

Visualization data tool

3°/ Information mapping tool (NodeXL)

Information visualization as « the use of visual representations

and interactive computerized data to amplify cognition ». (Data Exploratory Analysis)

Data collecting

Pascal Medline

PsycInfo Download references

III. Results

Comment 1:

concepts which the watcher did not necessarily think in its indicators search.

Comment 2:

IV. Discussion

Our main goals :

To map the semantic units is the most representative for our

project

Facilitation for document indexation in a decision-support information system.

New knowledge processing creation.

NooJ parsing : opening towards multilingual monitoring information processing.

Conclusion

Pragmatism on IS & CI & KM?

Conceptual effort

complex objects of study (D, I, K)

Vision on processes

information, actor, knowledge and decision & ΠΠΠΠw(object)

Communication principles

(interoperability between objects) SI, EI and KM

Projections in the context