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

Transcription

1 Technology Watch process in context: Information Systems (SI), Economic Intelligence (EI) and Knowledge Management (KM) Sahbi SIDHOM (LORIA & Univ. of Lorraine)

2 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 Case Studies applied S 2

3 1. Information system (IS) Concepts, processes, constraints, integrity and management 3

4 1. Information system Concepts 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 4

5 Information system Processes 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) 5

6 Information system Constraints 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) 6

7 Information system Data integrity and functions Interoperability Specific functional logic Semantic Affiliation logic Sharing: Read / Write Safety locks: hierarchy among actors 7

8 Information system (data) Management Responsibility Management Resource Management NEED(S) Process Management DATA PROCESS DATA ANSWER(S) Control Management CORRECTION(S) 8

9 Examples on data (in Bank Management) who is a millionaire in my bank? 1 Head Manager, others customer resources DATA = Nicolas Dupond , 00 Anne Fontaine ,08 3 NEED(S) Process Management DATA PROCESS DATA ANSWER(S) 2 Control Management DATA = SELECT * FROM customer WHERE account >= 10 6 CORRECTION(S) 4 DATA = n x10 6 n= {1, 2, 3, } S 9

10 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) 10

11 2. Competitive intelligence systems (CIS) Architecture, process and constraints 11

12 2.? DM Competitive Intelligence System Architecture NEED 1 Π(IR)? W 4 Data Warehouse Π(collect) 3 WWW Information in world 2 Π(explicitation n[dm]+i[w]) Decision Specifications Resultats Π(validation)? A W Watch product Added value information 5 6? DM Decision 7 Π(interpretation+strategie) Π(treat +analyse) 12

13 Iterative Process 1 2 Actors Actions DM W W A,W A W,DM DM DM 3 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 4 13

14 Constraints? DM NEEDS 1 I.? W 4 Π(IR) Data Warehouse II. Π(collect) 3 WWW Information in World III. 2 Π(explicitation n[dm]+i[w]) Decision Specifications Π(valid.) Resultats IV. V.? VI. DM? A W Watch product Added Value Information 5 6 Π(treat +analyse) Decision Π(interpretation+strategie) S 7 14

15 Competitive Intelligence? A systematic and ethical program for gathering, analyzing, and managing external information that can affect your company's plans, decisions, and operations. (SCIP, 2012) 15

16 3. Communication between IS and CIS? Similarities, architecture 16

17 3. IS and CI? Similarities (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) 17

18 Communication architecture (data, information & knowledge) IS CIS d: data i: information W(d) W(i) W(k) k: knowledge 1 2 projection(d,k) projection(i,k) KMS S 18

19 4. Dimensions of the KM problem Issue(s)/Problematic(s) and dimensions : Information, actor, knowledge and decision 19

20 4. KM to communicate: IS and CI Problematic(s)? 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 20

21 KM to communicate: IS and CI Dimensions? 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) 21

22 Information (I) Dimension: Données/statistiques/graphiques/ Ressources/rapports/ Séquences multimédia/images/ F. veille/ Notices biblio./ etc. Content DB Outils GED+V Informations Secondaire & Tertiaires Informations Primaires Outil de veille Informations sur Internet Banque de données Ressources & Archives (ouvertes) Agent intelligent sur Internet 22

23 Acteur/ User (U) Dimension : Informations U. et préférences Profils cognitifs & Classes acteurs Traits cognitifs 1 Niveaux de compétences (Hiérarchie) Outils FC+WI+DW Intellect, Culture & Compétences etc. 2 3 Réseaux professionnels Groupes d acteurs 23

24 Connaissance/ Knowledge K (dimension) Effort intellectuel (Homme) Effort de l outil KM (Machine) Profil calculé des acteurs (Machine) Projection de U en K = Filtrage collaboratif (Processus du Web Intelligent) Profil explicite (Homme) Projection de I en K = collecte + analyse/traitement + partage (Processus de veille) I (dimension Information) U (dimension Usager/Acteur) Outils KM Capitalisation (U,K) + (I,K) 24

25 Décision/ Decision (Knowledge) K [SIDHOM, 2010] Outils GED+V Outils WI Projections (I,K) D Projections (U,K) D I (Information) U (User) Projections corrélées (I,K) (U,K) D D (Decision) SI KM IE S 25

26 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. (Jeff Angus and Jeetu Patel, 1998) 26

27 5. Appropriate case studies 27

28 I. «ChroniSanté» an information system for decision support II. Methodology and tools III. Results IV. Perspectives 28

29 Projet 29

30 I. «ChroniSanté» an information system for decision support 30

31 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 31

32 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 D NP Extensional Logic Level (Colosed Predicates) All objects Transition Logic Level (Open Predicates) Set of objects N' SP Intensional Logic Level (Properties) No objects NP grammar N N EP NooJ grammar 32

33 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 Textual sample (303 references) 33

34 III. Results Comment 1: concepts which the watcher did not necessarily think in its indicators search. Comment 2: corpus process of the of bibliographic records. 34

35 IV. Discussion Our main goals : To map the semantic units is the most representative for our project Facilitation for document indexation in a decisionsupport information system. New knowledge processing creation. NooJ parsing : opening towards multilingual monitoring information processing. S 35

36 Conclusion Pragmatism on IS & CI & KM? Conceptual effort complex objects of study (D, I, K) Vision on processes information, actor, knowledge and decision & Πw(object) Communication principles (interoperability between objects) SI, EI and KM Projections in the context dimensions of the problem (I, U, K, D) and projections 36

37 Thanks 37