XEW Data Analysis: Competitive Intelligence System in cloud

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Anass El Haddadi

a,b

_{, Wahiba Bahsoun}

a,

_{Bernard Dousset}

a a

_{Institut de Recherche en Informatique de Toulouse, IRIT UMR 5505}

Université de Toulouse, Université Paul Sabatier

118, Route de Narbonne, F-31062 Toulouse cedex 9 (France)

b

_{ENSAH, DMI, Université Med 1,}

Al-Hoceima, Maroc

anass.elhaddadi@gmail.com

,

wahiba.bahsoun@irit.fr

,

dousset@irit.fr

XEW Data Analysis: Competitive

Intelligence System in cloud

6th. International Conference on “ Information Systems

& Economic Intelligence ”

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Outline

Introduction

The analytical model of CI

Information system adapted to the CI appraoch

XEW the CI System in cloud

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Subsidiary SFA App Server Back Office ERP Adapter SCM Adapter Front Office Order Entry Finance Partner SCM Adapter CRM Tracking Service Adapter CRM Integration Broker App Server CRM

Competitive Intelligence System

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Outline

Introduction

The analytical model of CI

Information system adapted to the CI appraoch

XEW the CI System in cloud

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The analytical model of CI

Competitive Intelligence (CI) is a

set of coordinated actions of research,

treatment and distribution of useful

information to makers, to enable the

action and decision making [1, 2].

More CI is both a process and a

product [3]

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Outline

Introduction

The analytical model of CI

Information system adapted to the CI appraoch

XEW the CI System in cloud

Conclusion

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Information Systems adapted to the CI

appraoch

For Patrick Romagni and Valérie Wild, the definition of an information system adapted

to the CI approach is as follows:

organized set of procedures, at any time, to give

decision-maker a representation of the company in its environment and its

market. It produces information to assist in executive functions, management

and decision-making

.

• Facilitate decisions, to automate a number of actions or by providing to decision

makers the necessary information for decision-making,

• Coordinate the processing of information,

• Store sustainably information,

• Improve data processing: the creation of information directly usable by decision

makers.

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Information Systems adapted to the CI

appraoch

• Reduce the number of vertical

coordination by reducing managements

layers,

• Improved environmental monitoring,

• An opening-up by a

cross-communication,

• Relationships based on

complementarities business,

• A better adaptation to market

dynamics.

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Information Systems adapted to the CI

appraoch

The advantage of this type of information system :

Project management monitoring,

• Information sharing,

Custom interface

• Collecting more accurate and targeted,

Processing, analysis, storage

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Information Systems adapted to the CI

appraoch

1. Develop 2. Choose

3. Identify & Prioritize 4. Identify & select 5. Collect & Evaluate 6. Organize & Remember 7. Validate & Stream 8. Analyze & Interpret 9. Validate & Spread

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Information Systems adapted to the CI

appraoch

The model described is based on two

main models:

• A

multidimensional

representation

of

documents: which can transfer qualitative

data into quantitative data. The objective of

this model is to get at the end, a unifying

view of the documents collected.

• A function model, which aims to provide a

set of generic and combinatory functions to

build different kind of indicator as needed

for analysis.

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Outline

Introduction

The analytical model of CI

Information system adapted to the CI appraoch

XEW the CI System in cloud

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XEW the CIS

History

2011 Xplor V1.1 & XEW: A. El Haddadi (Thesis)

2009 Xplor V1: I Ghalamalah (Thesis)

2009 VisuaGraph: E. Loubier (Thesis)

2005 Morphing of evolutionary graphs: S. Karouach (post doc)

2004 Adequacy with the companies profiles : S. Hussein (Thesis)

2003 Large graphs, geostrategy: S. Karouach (Thesis)

2002 Engineering of the need : T. Zid (Thesis et Medesiie project)

1999 Design of CI system : M. Salle (Thesis & Medesiie project)

1998 Interactiv Visualization of HC (Master), emmergence (Master)

1993 1° Tetralogy Platform (4D)

1989-93 Text mining, evolution : T. Dkaki (Thesis)

1987 Trilogy 3D (PCA, FA, HC, Partitioning)

1985-87 3D parametric space : T. Benjamaà (Thesis)

1983 3D Visualization of PCA (Master)

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XEW the CIS

Tetralogy Platform - TM

Extraction of the dictionaries

Load diagram

Synonyms Dictionary + or

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-XEW the CIS

Tetralogy Platform - TM

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XEW the CIS

Tetralogy Platform - TM

2D Crossings

Square matrix

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XEW the CIS

Tetralogy Platform - TM

3D Crossings

Third variable

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XEW the CIS

Tetralogy Platform - DM

• for the matrix treatment

• proposal of several algorithms of sorting

• supervised generation of crossing matrix

• 3D spreadsheet adapted to big size matrix (2 and 3 D zooms)

• for multidimensionnal analysis

• 3D and 4D interactive visualizations

• synchronization of local or distant charts

• visualization of trajectories and procrustean rotations (MFA)

• for classifications

• interactive hierarchical trees with class export

• partitioning of graphs, graphs of classes

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XEW the CIS

Tetralogy Platform - DM

Sorting algorithms of matrix

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XEW the CIS

Tetralogy Platform – DM (PCA)

4D map of co-ordinates

Correlation ring

Synchronisation

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XEW the CIS

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XEW the CIS

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XEW the CIS

Tetralogy Platform – DM(AHC)

∑

= − = = n i i i e e AB d g h g h d , 1 )² ( ) , ( ) , (

{

)

}

, , ( ) , ( e k l l k m AB d x y d =

_Min

{

)

}

, , ( ) , ( e k l l k M A B d x y d =

_Max

B A y x d B A d k l l k e

∑∑

= ) , ( ) , ( µ Niveau de coupure à 4 classes

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XEW the CIS

Tetralogy Platform - DM

Supervised method

K initial classes

– 4 classes

– 6 classes

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XEW the CIS

Tetralogy Platform – Data Visualization

faibles.

Linear distribution

Choice of nonlinear scale

weak signals detection

Data selection

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XEW the CIS

Tetralogy Platform – Data Visualization

.

Classification exportation Map in relative mode : trend study

Absent coutry

Country on the decline

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XEW the CIS

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XEW the CIS

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XEW the CIS

Tetralogy Platform

• Tetralogy platform caracteristics

• it is a coherent whole of

inter-operative prototypes

,

• use a single standard for the format of the data,

• its

graphic interface

is homogeneous,

• resources and methods are shared via the network.

• Research use

• evaluation support

of methods, tools and BI products,

• many examples, on the scale, already analyzed.

• Application domain :

strategic watch

• Scientific watch (scientometry, indicators, evaluation)

• Technologic watch (patent rights, products, proceeded)

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XEW the CIS

Tetralogy to XEW

• Advantage

• Processing speed (ram, hash coding)

• Disadvantage

• Limited size (<50005000/2D, < 25000250*4/3D)

• The result is that more and more space is lost ! (sparse matrix)

• Loading time

• Managing domain names

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XEW the CIS

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Planification

Information Retrieval Indicators for

analysis

Validation and dissemination

XEW the CIS

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XEW the CIS

Sourcing Web Service

Internet

5000

Professional DB

Network

and contact

Website Invisible Web Newsgroups Mailing-lists Newsletters Patents Papers, thesis, … Economic data Experts Organism

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XEW the CIS

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XEW the CIS

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Subsidiary SFA App Server Back Office ERP Adapter SCM Adapter Front Office Order Entry Finance Partner SCM Adapter CRM Tracking Service Adapter CRM Integration Broker App Server CRM

Crawling and Scraping WS

XEW the CIS

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XEW the CIS

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XEW the CIS

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XEW the CIS

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XEW the CIS

Data Analysis WS

Hardware

Operating System

App

Hardware

OS

App

Hypervisor

OS

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XEW the CIS

Data Analysis WS

• Storage virtualization

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XEW the CIS

Data Analysis WS

Storage virtualization uses virtualization

to enable better functionality and more

features

in

computer

data

storage

systems.

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XEW the CIS

Data Analysis WS

Application virtualization is software technology

that encapsulates

application software

from the

underlying

operating system

on which it is

executed. A fully

virtualized

application is not

installed in the traditional sense, although it is

still executed as if it were. The application

behaves at runtime like it is directly interfacing

with the original operating system and all the

resources managed by it, but can be isolated or

sandboxed to varying degrees.

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Open Source Cloud Computing

Open Source Hypervisors

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Open Source Cloud Computing

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Open Source Cloud Computing

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XEW the CIS

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XEW the CIS

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XEW the CIS

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XEW the CIS

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Outline

Introduction

The analytical model of CI

Information system adapted to the CI appraoch

XEW the CI System in cloud

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Conclusion

KM of Tetralogy and XEW 1.0

Data Stream Mining

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Conclusion

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References

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GILAD B., "The Futur of Competitive Intelligence, Contest for the Profession’s Soul", Competitive Intelligence Magazine, 11(5), 22, 2008.

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Ghalamallah, Proposition d’un modèle d’analyse exploratoire multidimensionnelle dans un contexte d’intelligence economique, doctorat de l’université de toulouse, 18 décembre (2009).

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A. El haddadi, B. Dousset, I. Berrada and I. Loubier, “ Les multi-sources dans un contexte d’Intelligence Economique“, EGC 2010, P A1-125 A1-136, 2010.

El haddadi, B. Dousset. and I. Berrada., “ Xplor everywhere – a tool for competitive intelligence on the web and mobile”, VSST 2010, 25-29 Octobre, Toulouse France, 2010.

H. Hatim, A. El haddadi, H. El bakkali, B. Dousset, and I. Berrada, “Approche générique de contrôle d’accés aux donénes et aux traitements dans une plate-forme d’intelligence économique“, colloque Veille Stratégique et technologique, 2010.

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Thank you !!!

SIIE February 12, 13 and 14th., 2015 at Hammamet, Tunisia Anass EL HADDADI -anass.elhaddadi@gmail.com