XEW Data Analysis: Competitive Intelligence System in cloud 6th. International Conference on Information Systems & Economic Intelligence 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
Outline Introduction The analytical model of CI Information system adapted to the CI appraoch XEW the CI System in cloud Conclusion
Introduction
Introduction Competitive Intelligence System Front Office Order Entry CRM Adapter Finance SFA App Server Subsidiary Integration Broker Adapter Adapter SCM ERP Back Office CRM App Server CRM Tracking Service Adapter SCM Partner
Outline Introduction The analytical model of CI Information system adapted to the CI appraoch XEW the CI System in cloud Conclusion
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]
Outline Introduction The analytical model of CI Information system adapted to the CI appraoch XEW the CI System in cloud Conclusion
Information Systems adaptedto 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.
Information Systems adaptedto the CI appraoch Reduce the number of vertical coordination by reducing managements layers, Improved environmental monitoring, An opening-up by a crosscommunication, Relationships based on complementarities business, A better adaptation to market dynamics.
Information Systems adaptedto 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 Dissemination
Information Systemsadaptedto 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
Information Systemsadaptedto 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.
Outline Introduction The analytical model of CI Information system adapted to the CI appraoch XEW the CI System in cloud Conclusion
History 1983 3D Visualization of PCA (Master) 1985-87 3D parametric space : T. Benjamaà (Thesis) 1987 Trilogy 3D (PCA, FA, HC, Partitioning) 1989-93 Text mining, evolution : T. Dkaki (Thesis) 1993 1 Tetralogy Platform (4D) 1998 Interactiv Visualization of HC (Master), emmergence (Master) 1999 Design of CI system : M. Salle (Thesis & Medesiie project) 2002 Engineering of the need : T. Zid (Thesis et Medesiie project) 2003 Large graphs, geostrategy: S. Karouach (Thesis) 2004 Adequacy with the companies profiles : S. Hussein (Thesis) 2005 Morphing of evolutionary graphs: S. Karouach (post doc) 2009 VisuaGraph: E. Loubier (Thesis) 2009 Xplor V1: I Ghalamalah (Thesis) 2011 Xplor V1.1 & XEW: A. El Haddadi (Thesis)
Tetralogy Platform - TM Dictionary+ or - Extraction of the dictionaries Load diagram Synonyms
Tetralogy Platform - TM Dictionary of multi-terms
Tetralogy Platform - TM 2D Crossings Square matrix Asymmetrical matrix
Tetralogy Platform - TM 3D Crossings Third variable Filter
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 segmentation for the geographical maps
Tetralogy Platform - DM Sorting algorithms of matrix Connexity zoom diagonal blocks zoom
Tetralogy Platform DM (PCA) 4D map of co-ordinates Synchronisation Correlation ring
Tetralogy Platform DM (FCA)
Tetralogy Platform DM (MFCA)
TetralogyPlatform DM(AHC) de( A, B) = de( g, h) = ( g i hi)² dm( A, B) { de( xk, yl )} i= 1, n Min = dm( A, B) = { de( xk, yl )} k, l Max k, l e d ( xk, yl k l dµ( A, B) = A B ) Niveau de coupure à 8 classes Niveau de coupure à 4 classes
Tetralogy Platform - DM Supervised method K initial classes 4 classes 6 classes
Tetralogy Platform Data Visualization faibles. Linear distribution Evolution of coloration Data selection Choice of nonlinear scale weak signals detection
Tetralogy Platform Data Visualization Absent coutry. Country on the decline Country in emergence Mapin relative mode : trend study Classification exportation Country class size Levelof cut
Tetralogy Platform Data Visualization
Tetralogy Platform Data Visualization
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) Business watch (markets, competitors, substitutes)
Tetralogy to XEW Advantage Processing speed (ram, hash coding) Disadvantage Limited size (<5000*5000/2D, < 25000*250*4/3D) The result is that more and more space is lost! (sparse matrix) Loading time Managing domain names 2 or 3 variables
Tetralogy to XEW
Life Cycle of XEW model Validation and dissemination Planification Indicators for analysis Information Retrieval Multidimentional representation of documents Homogenization and structuring documents
Sourcing Web Service Website Internet Invisible Web Newsgroups Mailing-lists Newsletters 5000 Professional DB Patents Papers, thesis, Economic data Network and contact Experts Organism
Sourcing Web Service
Sourcing Web Service in cloud
Sourcing Web Service in cloud Crawling and Scraping WS Front Office Order Entry CRM Adapter Finance SFA App Server Subsidiary Integration Broker Adapter Adapter SCM ERP Back Office CRM App Server CRM Tracking Service Adapter SCM Partner
Open Source NoSQL Databases
Data Analysis WS
Data Analysis WS
XEW the CIS Data Analysis WS Virtualization App App App App App App OS OS OS Operating System Hypervisor Hardware Hardware
Data Analysis WS Storage virtualization Application virtualization
Data Analysis WS Storage virtualization uses virtualization to enable better functionality and more features in computer data storage systems.
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.
Open Source Cloud Computing Open Source Hypervisors
Open Source Cloud Computing Open Source Compute Clouds(IaaS)
Open Source Cloud Computing Open Source Cloud Storage Software
Data Analysis WS
Data Analysis WS
ixew: iphone Xplor EveryWhere
Data Analysis WS
Outline Introduction The analytical model of CI Information system adapted to the CI appraoch XEW the CI System in cloud Conclusion
Conclusion KM of Tetralogy and XEW 1.0 Data Stream Mining WS of crawling and scraping: USPTO, IEEE
Conclusion Governance in cloud
Conclusion
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Thankyou!!! SIIE -February 12, 13 and 14th., 2015 at Hammamet, Tunisia - Anass EL HADDADI - anass.elhaddadi@gmail.com