Enterprise Knowledge Infrastructures

Size: px
Start display at page:

Download "Enterprise Knowledge Infrastructures"

Transcription

1 Information Systems Business processes Management Information Systems Information Systems Leadership Leadership Knowledge Management Enterprise Knowledge Infrastructures 3. Karlsruher Symposium für in Theorie und Praxis Prof. Dr. Dept. of Management Information Systems, Information Systems Leadership Martin-Luther Luther-University Halle-Wittenberg

2 Overview From Knowledge Work to Knowledge Infrastructures Knowledge Work Knowledge Management Instruments Knowledge Infrastructures Modeling for Enterprise Knowledge Infrastructures Approaches to (Extended) Business Process Modeling Knowledge Stance Modeling Perspectives Projects

3 Relevance of Knowledge Work Origin: knowledge worker Drucker 1979 Knowledge workers replace industrial workers as the largest group p of the work force. Consequently, businesses should no longer be seen from an industrial, but from a knowledge perspective. Sveiby 1987 and 1997, 26ff 60% of US organizations think that between 60% and 100% of their employees are so-called knowledge workers. Delphi 1997 In 2002, about 75% of workers were employed in the service sector r in the United States or about 65% in Germany respectively U.S. Department of Labor; Work is increasingly or exclusively based on information.

4 Knowledge work solves weakly structured problems with a high degree of variety and exceptions, is creative work and requires creation, acquisition, application and distribution of knowledge, uses intellectual abilities and specialized knowledge rather than physical abilities, requires a high level of education, training and experiences resulting in skills and expertise, is often organized decentrally using new organizational metaphors, bases inputs and outputs primarily on data and information, has strong communication needs and is highly mobile and distributed, and thus requires a strong yet flexible support by information and communication technologies.

5 KM Instrument Definition ICT-supported KM instrument: a bundle of organizational, human resources and ICT measures that is used systematically in a KM initiative in order to achieve knowledge-related goals. person-oriented oriented instruments knowledge in heads of people content/product-oriented oriented instruments knowledge as object organization-oriented oriented instruments knowledge as process, knowledge in social systems

6 Classification of KM Instruments knowledge development/ application maps communities/ knowledge networks knowledge process reengineering knowledge source map competence management personal experience management organization (knowledge in social systems) person (knowledge bound to individuals) product (knowledge as object) knowledge structure map lessons learned good/best practices semantic content management

7 Enterprise Knowledge Infrastructure (EKI) Multiple terms used vaguely knowledge (management) system, knowledge portal, warehouse organizational memory system KM tools, software, combination of tools applied with KM in mind KM platforms, suites enterprise knowledge infrastructure What separates EKI from more traditional information systems? Intranet infrastructures, document and content management systems, artificial intelligence tools, business intelligence tools, Groupware or collaboration tools, e-learning systems.

8 EKI Characteristics and Architecture Enterprise Knowledge Infrastructures knowledge worker I access services authentication; transformation for diverse applications and appliances II personalization services person-, process-, project- or role-oriented knowledge portals discovery search, visualization, navigation III knowledge services publication structuring, contextualization collaboration competence mgmt., community spaces learning authoring, course mgmt., tutoring IV integration services taxonomy, ontology; user, function, process integration V infrastructure services storage, access, messaging, security services extract, transformation, loading, inspection services Intranet/Extranet: messages, contents of CMS,E-learning platforms DMS documents, files from office information systems data from RDBMS, TPS, data warehouses personal information management data content from Internet, WWW, newsgroups data from external online data bases VI data and knowledge sources

9 Peer-to to-peer Architectures characteristics mutual client-server-functionality direct exchange between peers autonomy architectures assisted P2P pure P2P super peer P2P benefits direct communication without unwanted filters autonomous selection of tools and ontologies flexible configuration of teams/networks acceptance by local storage and decentral access privileges community I externalization community II internalization, application feedback submission distribution acquisition search community III Barkai 2001, 4ff, Benger 2003, 167f, Dustdar et al. 2003:170ff, Schoder/Fischbach 2002, 587

10 Architecture of Peer-to to-peer KMS

11 Modeling for Enterprise Knowledge Infrastructures Business process modeling methods such as ARIS (Scheer( 2001), ADONIS (Junginger( et al. 2000), IEM - Integrated Enterprise Modeling (Spur et al. 1996), MEMO - multi- perspective enterprise modeling (Frank 1994), PROMET (Österle( 1995) have been extended in order to cover aspects of knowledge work or knowledge management Examples: Knowledge-MEMO, ARIS KM, extensions to modeling of workflows, Business Knowledge Management/PROMET I-NET, PROMOTE, GPO-WM, KMDL

12 Comparison of Methods elements and perspectives different support for perspectives: person, process, product, productivity infrastructure knowledge as object, flow, process, practice, (social) system modeling at type/instance level expression: number of modeling elements degree of formalization goals and relations primary modeling goals: design of software / process / networks / HRM modeling at/for build time/run time of knowledge infrastructures relation to KM instruments operationalization: : detailing for knowledge infrastructures support procedure model tool support

13 Elements of Activity Theory Thesis: Knowledge is not an object, a passive unit. The processes s of knowledge and activity take place in so-called activity systems. tools activity motive agent / subject object outcome action goal operation conditions rules community division of labor after: Engeström 1993, 68

14 Process Modeling and Activity Modeling Compared routine structured problems, exploitation / application of knowledge crea tive unstructured problems, exploration / creation of knowledge level of motives value cha ins activities level of goals refine routinize processes actions level of conditions refine tasks routinize operations

15 Concept of Knowledge Stance process-oriented perspective activity-oriented perspective level of motives value chains activities level of goals function processes occasion function person process / activity knowledge stance topic tool mode action action action knowledgeoriented actions level of conditions tasks operations

16 Definition Knowledge Stance A knowledge stance is a recurring situation in knowledge work defined by occasion offers the opportunity or the need for knowledge-related actions. examples are the possibility to externalize knowledge, the opportunity to learn about new topics, an with ideas from a colleague. context comprises all dimensions adequate to describe the actual process-oriented oriented as well as the activity-oriented work context of the knowledge worker. examples for relevant dimensions are artifacts, other subjects, desired outcomes, roles, rules, members of the user s s community. mode can be described by the four informing practices monitoring, translating, expressing and networking. actions are offered depending on occasion, context and mode. Categories are derived from information quality tasks.

17 Informationssysteme Examples for Actions integration activities visualize concepts, list sources, summarize, personalize, prioritize contents, highlight aspects, give an overview, elicit patterns, validation activities evaluate source, indicate level of certitude/reliability, describe rationale, compare sources, examine hidden interests/background, check consistency, contextualization activities link content, state target groups, show purpose, describe background, relate to prior information, add meta-information, state limitations, activation activities notify and alert, demonstrate steps, ask questions, use mnemonics, metaphors and storytelling, stress consequences, provide examples, offer interaction. i source: Eppler 2003, 82ff

18 navigation structure Modeling Perspectives and Concepts Informationssysteme KM strategy, competencies motive, outcome KM instrument subject context theme context occasion, mode KPR type of knowledge process target group, network/ community communication organizational structure event, condition, action goal, input, output role resource expert person product meta-data scope flow of kno wledge tool support responsibility skill/ interest structure taxonomy occurrence profile productivity infrastructure ontology content/ structure personalization function/ interaction architecture/ structure

19 Projects and Initiatives person DFG-Project Knowledge acquisition and application in professional services firmsf irms process EU-Project KnowCom - Knowledge and Co-operation operation based engineering for die and Mould making SMEs knowrisk - Management of Knowledge Risks in Business Processes product Smartprotocols - Ontologies,, smart documents and Semantic Web-technologies smart management of protocols and experiences KM instrument SIMKnowledge - Simulation of knowledge sharing depending on the use of KM instruments productivity infrastructure Infotop - Managing Knowledge Workspaces in a Peer-to to-peer Environment

20 EU-Project KnowCom Know-CoM Knowledge and Co- operation based engineering for die and Mould making SMEs)

21 management SimKnowledge ens W iss Info rmationssys tem e hä Gesc ftsproze ss e IS-F ührung CEO Manager PM1 Projektmanager Worker1 Worker2 PM2 Projektmanager Worker3 Worker4 kbase decide project acceptance PM3 Projektmanager Worker5 find project manager Social Model SG find colleague joint plans plan1 knowledge process plan2 plan3 PS Joint Plans kbase LocalPlanningControlUnit a2 SG PS a4 a3 Behaviour -based Layer kbase customers BehaviorBasedControlUnit World Model SG PS Actions Emotion: flow / frust competitors routinized / reactive actions Patterns of Behavior job market AgentBody World Interface / Body perceive() turnover a5 Plans + Utility BehavioralAgent tell() go() act() getresult() orders project progress profit salary training cost skills external knoledge km-instruments Environment Multi-agent based simulation of knowledge distribution performance figures personnel cost learn Physis: exhaustion look() company environment a1 plans Mental Model apply new knowledge learn about solution request help Cognition: skills + money Local Planning Layer get payment do project work Status: contacts CooperativePlanningControlUnit find project members Worker6 WorkerAgent Cooperative Planning Layer coordinate team members business process knowledge balance

22 Infotop

23 Research Questions How do we model knowledge work? knowledge as product vs. process vs. knowledgeable people completeness vs. understandability and modeling costs Is it strategically relevant? KM strategy and relationship to business strategy management of knowledge risks How do we support it with enterprise knowledge infrastructures? reconcile business processes and knowledge work seamless integration of personal and organizational KM environment nt inter-organizational knowledge infrastructures - standardization How do we measure success? evaluation of productivity of knowledge work evaluation of success of enterprise knowledge infrastructures

24 Conclusion Knowledge work is multi-faceted, its systematic design promises a substantial improvement of its productivity, requires the combined application of organizational and ICT instruments in enterprise knowledge infrastructures which demands the extension of enterprise modeling by concepts such as knowledge stance.

THE e-knowledge BASED INNOVATION SEMINAR

THE e-knowledge BASED INNOVATION SEMINAR The Kaieteur Institute For Knowledge Management THE e-knowledge BASED INNOVATION SEMINAR OVERVIEW! Introduction Knowledge is a new form of renewable and intangible energy that is transforming many organizations.

More information

Delivering Smart Answers!

Delivering Smart Answers! Companion for SharePoint Topic Analyst Companion for SharePoint All Your Information Enterprise-ready Enrich SharePoint, your central place for document and workflow management, not only with an improved

More information

Knowledge Management

Knowledge Management Knowledge Management Management Information Code: 164292-02 Course: Management Information Period: Autumn 2013 Professor: Sync Sangwon Lee, Ph. D D. of Information & Electronic Commerce 1 00. Contents

More information

CENTRALIZED VERSUS PEER-TO-PEER KNOWLEDGE MANAGEMENT SYSTEMS. Ronald Maier a Thomas Hädrich b. Martin-Luther-University Halle-Wittenberg, Germany a

CENTRALIZED VERSUS PEER-TO-PEER KNOWLEDGE MANAGEMENT SYSTEMS. Ronald Maier a Thomas Hädrich b. Martin-Luther-University Halle-Wittenberg, Germany a CENTRALIZED VERSUS PEER-TO-PEER KNOWLEDGE MANAGEMENT SYSTEMS Ronald Maier a Thomas Hädrich b a,b Department of Management Information Systems and OR, Martin-Luther-University Halle-Wittenberg, Germany

More information

Chapter 13: Knowledge Management In Nutshell. Information Technology For Management Turban, McLean, Wetherbe John Wiley & Sons, Inc.

Chapter 13: Knowledge Management In Nutshell. Information Technology For Management Turban, McLean, Wetherbe John Wiley & Sons, Inc. Chapter 13: Knowledge Management In Nutshell Information Technology For Management Turban, McLean, Wetherbe John Wiley & Sons, Inc. Objectives Define knowledge and describe the different types of knowledge.

More information

Important dimensions of knowledge Knowledge is a firm asset: Knowledge has different forms Knowledge has a location Knowledge is situational Wisdom:

Important dimensions of knowledge Knowledge is a firm asset: Knowledge has different forms Knowledge has a location Knowledge is situational Wisdom: Southern Company Electricity Generators uses Content Management System (CMS). Important dimensions of knowledge: Knowledge is a firm asset: Intangible. Creation of knowledge from data, information, requires

More information

Knowledge Management System Architecture For Organizational Learning With Collaborative Environment

Knowledge Management System Architecture For Organizational Learning With Collaborative Environment Proceedings of the Postgraduate Annual Research Seminar 2005 1 Knowledge Management System Architecture For Organizational Learning With Collaborative Environment Rusli Haji Abdullah δ, Shamsul Sahibuddin

More information

Introduction to Management Information Systems

Introduction to Management Information Systems IntroductiontoManagementInformationSystems Summary 1. Explain why information systems are so essential in business today. Information systems are a foundation for conducting business today. In many industries,

More information

Bridging the Gap between Knowledge Management and E-Learning with Context-Aware Corporate Learning

Bridging the Gap between Knowledge Management and E-Learning with Context-Aware Corporate Learning Bridging the Gap between Knowledge Management and E-Learning with Context-Aware Corporate Learning Andreas Schmidt FZI Research Center for Information Technologies, Karlsruhe, GERMANY Andreas.Schmidt@fzi.de

More information

Chapter 9 Knowledge Management

Chapter 9 Knowledge Management Turban, Aronson, and Liang Decision Support Systems and Intelligent Systems, Seventh Edition Chapter 9 Knowledge Management 9-1 Learning Objectives Define knowledge. Learn the characteristics of knowledge

More information

IT1104- Information Systems & Technology (Compulsory)

IT1104- Information Systems & Technology (Compulsory) INTRODUCTION - Information Systems & Technology (Compulsory) This is one of the 4 courses designed for Semester 1 of Bachelor of Information Technology (BIT) Degree program. Information Systems and Technology

More information

Soar Technology Knowledge Management System (KMS)

Soar Technology Knowledge Management System (KMS) Soar Technology Knowledge Management System (KMS) A system that will capture information and make it accessible to the staff in the form of meaningful knowledge. This project will consist of various systems

More information

Business Intelligence and Decision Support Systems

Business Intelligence and Decision Support Systems Chapter 12 Business Intelligence and Decision Support Systems Information Technology For Management 7 th Edition Turban & Volonino Based on lecture slides by L. Beaubien, Providence College John Wiley

More information

BUSINESS VALUE OF SEMANTIC TECHNOLOGY

BUSINESS VALUE OF SEMANTIC TECHNOLOGY BUSINESS VALUE OF SEMANTIC TECHNOLOGY Preliminary Findings Industry Advisory Council Emerging Technology (ET) SIG Information Sharing & Collaboration Committee July 15, 2005 Mills Davis Managing Director

More information

Semantic SharePoint. Technical Briefing. Helmut Nagy, Semantic Web Company Andreas Blumauer, Semantic Web Company

Semantic SharePoint. Technical Briefing. Helmut Nagy, Semantic Web Company Andreas Blumauer, Semantic Web Company Semantic SharePoint Technical Briefing Helmut Nagy, Semantic Web Company Andreas Blumauer, Semantic Web Company What is Semantic SP? a joint venture between iquest and Semantic Web Company, initiated in

More information

Enterprise-Wide Information Systems in the Modern Organization

Enterprise-Wide Information Systems in the Modern Organization Enterprise-Wide Information Systems in the Modern Organization Module SAP 1 1 ERP in Modern Business: Topics Historical Perspective of IS in Business Levels of IT in Organization Examine ERP s and SAP

More information

BSc in Information Systems & BSc in Information Technology Degree Programs

BSc in Information Systems & BSc in Information Technology Degree Programs BSc in Information Systems & BSc in Information Technology Degree Programs General Sir John Kotelawala Defence University is about to start the above mentioned degree programs at Hambanthota Southern Campus

More information

Big Data Is Not Yet Another IT Project. Krish Krishnan President, Sixth Sense Advisors Inc Bridge to Big Data Oct 23 rd 2012

Big Data Is Not Yet Another IT Project. Krish Krishnan President, Sixth Sense Advisors Inc Bridge to Big Data Oct 23 rd 2012 Big Data Is Not Yet Another IT Project Krish Krishnan President, Sixth Sense Advisors Inc Bridge to Big Data Oct 23 rd 2012 Background Applications, OLTP Systems, Traditional Data Warehouse and Business

More information

Enterprise Architecture Process, Structure and Organization

Enterprise Architecture Process, Structure and Organization Organizational development Enterprise Process, Structure and Organization t-eam* - a framework derived from project experience Dipl.-Inform. Klaus D. Niemann Managing Director...act! consulting GmbH Glockengießerwall

More information

Second-Generation Knowledge Management

Second-Generation Knowledge Management 1 Second-Generation Management Mark W. McElroy Macroinnovation Associates, LLC Management Consortium Int l KM World October 30, 2001 www.macroinnovation.com 2 Our Agenda b What is is KM? An An Industry

More information

AGLIS: Global Knowledge Management. Jan M. Pawlowski 28.01.2013

AGLIS: Global Knowledge Management. Jan M. Pawlowski 28.01.2013 AGLIS: Global Knowledge Management Jan M. Pawlowski 28.01.2013 Licensing: Creative Commons You are free: to Share to copy, distribute and transmit the work to Remix to adapt the work Collaborative Course

More information

SHAREPOINT CI. Spots Business Opportunities, Eliminates Risk COMPETITIVE INTELLIGENCE FOR SHAREPOINT

SHAREPOINT CI. Spots Business Opportunities, Eliminates Risk COMPETITIVE INTELLIGENCE FOR SHAREPOINT RESULTS Receive key intelligence on clients, prospects, competitors and threats Optimize business strategies Act on critical business opportunities you can t afford to miss. Leverage your knowledge resources

More information

Data Analytics in Health Care

Data Analytics in Health Care Data Analytics in Health Care ONUP 2016 April 4, 2016 Presented by: Dennis Giokas, CTO, Innovation Ecosystem Group A lot of data, but limited information 2 Data collection might be the single greatest

More information

KEY KNOWLEDGE MANAGEMENT TECHNOLOGIES IN THE INTELLIGENCE ENTERPRISE

KEY KNOWLEDGE MANAGEMENT TECHNOLOGIES IN THE INTELLIGENCE ENTERPRISE KEY KNOWLEDGE MANAGEMENT TECHNOLOGIES IN THE INTELLIGENCE ENTERPRISE RAMONA-MIHAELA MATEI Ph.D. student, Academy of Economic Studies, Bucharest, Romania ramona.matei1982@gmail.com Abstract In this rapidly

More information

A Knowledge Management Framework Using Business Intelligence Solutions

A Knowledge Management Framework Using Business Intelligence Solutions www.ijcsi.org 102 A Knowledge Management Framework Using Business Intelligence Solutions Marwa Gadu 1 and Prof. Dr. Nashaat El-Khameesy 2 1 Computer and Information Systems Department, Sadat Academy For

More information

Developing a Theory-Based Ontology for Best Practices Knowledge Bases

Developing a Theory-Based Ontology for Best Practices Knowledge Bases Developing a Theory-Based Ontology for Best Practices Knowledge Bases Daniel E. O Leary University of Southern California 3660 Trousdale Parkway Los Angeles, CA 90089-0441 oleary@usc.edu Abstract Knowledge

More information

Animation. Intelligence. Business. Computer. Areas of Focus. Master of Science Degree Program

Animation. Intelligence. Business. Computer. Areas of Focus. Master of Science Degree Program Business Intelligence Computer Animation Master of Science Degree Program The Bachelor explosive of growth Science of Degree from the Program Internet, social networks, business networks, as well as the

More information

Enterprise Reporting Solution

Enterprise Reporting Solution Background Current Reporting Challenges: Difficulty extracting various levels of data from AgLearn Limited ability to translate data into presentable formats Complex reporting requires the technical staff

More information

Knowledge Management Enabling technologies

Knowledge Management Enabling technologies Knowledge Management Enabling technologies ICT support to KM Types of knowledge enabling technologies 3Cs of Knowledge Enabling Technologies References 1 According to Despres and Chauvel (2000), KM is

More information

Whitepaper. Data Warehouse/BI Testing Offering YOUR SUCCESS IS OUR FOCUS. Published on: January 2009 Author: BIBA PRACTICE

Whitepaper. Data Warehouse/BI Testing Offering YOUR SUCCESS IS OUR FOCUS. Published on: January 2009 Author: BIBA PRACTICE YOUR SUCCESS IS OUR FOCUS Whitepaper Published on: January 2009 Author: BIBA PRACTICE 2009 Hexaware Technologies. All rights reserved. Table of Contents 1. 2. Data Warehouse - Typical pain points 3. Hexaware

More information

Data Isn't Everything

Data Isn't Everything June 17, 2015 Innovate Forward Data Isn't Everything The Challenges of Big Data, Advanced Analytics, and Advance Computation Devices for Transportation Agencies. Using Data to Support Mission, Administration,

More information

Enterprise Knowledge Management

Enterprise Knowledge Management Enterprise Knowledge Management What it is and how to do it Doug Kalish Why KM has a lousy reputation To be useful, KM has to: To be successful, KM has to: cross functional boundaries engage the largest

More information

The Masters of Science in Information Systems & Technology

The Masters of Science in Information Systems & Technology The Masters of Science in Information Systems & Technology College of Engineering and Computer Science University of Michigan-Dearborn A Rackham School of Graduate Studies Program PH: 313-593-5361; FAX:

More information

The Future of Business Analytics is Now! 2013 IBM Corporation

The Future of Business Analytics is Now! 2013 IBM Corporation The Future of Business Analytics is Now! 1 The pressures on organizations are at a point where analytics has evolved from a business initiative to a BUSINESS IMPERATIVE More organization are using analytics

More information

BIG DATA IN THE CLOUD : CHALLENGES AND OPPORTUNITIES MARY- JANE SULE & PROF. MAOZHEN LI BRUNEL UNIVERSITY, LONDON

BIG DATA IN THE CLOUD : CHALLENGES AND OPPORTUNITIES MARY- JANE SULE & PROF. MAOZHEN LI BRUNEL UNIVERSITY, LONDON BIG DATA IN THE CLOUD : CHALLENGES AND OPPORTUNITIES MARY- JANE SULE & PROF. MAOZHEN LI BRUNEL UNIVERSITY, LONDON Overview * Introduction * Multiple faces of Big Data * Challenges of Big Data * Cloud Computing

More information

Data Warehouse (DW) Maturity Assessment Questionnaire

Data Warehouse (DW) Maturity Assessment Questionnaire Data Warehouse (DW) Maturity Assessment Questionnaire Catalina Sacu - csacu@students.cs.uu.nl Marco Spruit m.r.spruit@cs.uu.nl Frank Habers fhabers@inergy.nl September, 2010 Technical Report UU-CS-2010-021

More information

Data Search. Searching and Finding information in Unstructured and Structured Data Sources

Data Search. Searching and Finding information in Unstructured and Structured Data Sources 1 Data Search Searching and Finding information in Unstructured and Structured Data Sources Erik Fransen Senior Business Consultant 11.00-12.00 P.M. November, 3 IRM UK, DW/BI 2009, London Centennium BI

More information

Session 805 -End-to-End SAP Lumira: Desktop to On-Premise, Cloud, and Mobile

Session 805 -End-to-End SAP Lumira: Desktop to On-Premise, Cloud, and Mobile September 9 11, 2013 Anaheim, California Session 805 -End-to-End SAP Lumira: Desktop to On-Premise, Cloud, and Mobile Ashish C. Morzaria, SAP Disclaimer This presentation outlines our general product direction

More information

Theme 6: Enterprise Knowledge Management Using Knowledge Orchestration Agency

Theme 6: Enterprise Knowledge Management Using Knowledge Orchestration Agency Theme 6: Enterprise Knowledge Management Using Knowledge Orchestration Agency Abstract Distributed knowledge management, intelligent software agents and XML based knowledge representation are three research

More information

Achieve more with less

Achieve more with less Energy reduction Enterprise Fax Servers Solutions Integrations: SharePoint case Whitepaper Achieve more with less SharePoint 2010 Benefits and Migration Costs Why Fax Server Integration Receive faxes to

More information

A Strategic Framework for Enterprise Information Integration of ERP and E-Commerce

A Strategic Framework for Enterprise Information Integration of ERP and E-Commerce A Strategic Framework for Enterprise Information Integration of ERP and E-Commerce Zaojie Kong, Dan Wang and Jianjun Zhang School of Management, Hebei University of Technology, Tianjin 300130, P.R.China

More information

Enabling Data Quality

Enabling Data Quality Enabling Data Quality Establishing Master Data Management (MDM) using Business Architecture supported by Information Architecture & Application Architecture (SOA) to enable Data Quality. 1 Background &

More information

Towards unstructured and just-in-time learning: the Virtual ebms e-learning system

Towards unstructured and just-in-time learning: the Virtual ebms e-learning system Towards unstructured and just-in-time learning: the Virtual ebms e-learning system G. Elia 1, G. Secundo, C. Taurino e-business Management Section, Scuola Superiore ISUFI, University of Lecce, via per

More information

Part I: Decision Support Systems

Part I: Decision Support Systems Part I: Decision Support Systems MBA 8473 1 Cognitive Objectives 43. Identify information processing as the foundation of managerial work. 44. Identify which media are more suitable for supporting managerial

More information

On the Requirements for Cooperative Assistance in the Medical Domain

On the Requirements for Cooperative Assistance in the Medical Domain On the Requirements for Cooperative Assistance in the Medical Domain L. Ardissono, A. Di Leva, G. Petrone, M. Segnan and M. Sonnessa Dipartimento di Informatica, Università di Torino, corso Svizzera 185,

More information

Considering Third Generation ediscovery? Two Approaches for Evaluating ediscovery Offerings

Considering Third Generation ediscovery? Two Approaches for Evaluating ediscovery Offerings Considering Third Generation ediscovery? Two Approaches for Evaluating ediscovery Offerings Developed by Orange Legal Technologies, Providers of the OneO Discovery Platform. Considering Third Generation

More information

[JOINT WHITE PAPER] Ontos Semantic Factory

[JOINT WHITE PAPER] Ontos Semantic Factory [] Ontos Semantic Factory JANUARY 2009 02/ 7 Executive Summary In this paper we describe Ontos Semantic Factory a platform producing semantic metadata on the basis of text (Web) content. The technology

More information

3. What is Knowledge Management

3. What is Knowledge Management 3. What is Knowledge Management ETL525 Knowledge Management Tutorial One 5 December 2008 K.T. Lam lblkt@ust.hk Last updated: 4 December 2008 KM History The subject of KM was originally arisen in the field

More information

Thomas Usländer Fraunhofer IITB

Thomas Usländer Fraunhofer IITB ORCHESTRA Day Stresa, 12 December 2007 ORCHESTRA Architecture - Behind the Scenes Thomas Usländer Fraunhofer IITB ORCHESTRA Consortium ORCHESTRA Ambition Analysis Maps Info Centre Archive Control centre

More information

Fundamentals of Information Systems, Seventh Edition

Fundamentals of Information Systems, Seventh Edition Chapter 1 An Introduction to Information Systems in Organizations 1 Principles and Learning Objectives The value of information is directly linked to how it helps decision makers achieve the organization

More information

www.ducenit.com Analance Data Integration Technical Whitepaper

www.ducenit.com Analance Data Integration Technical Whitepaper Analance Data Integration Technical Whitepaper Executive Summary Business Intelligence is a thriving discipline in the marvelous era of computing in which we live. It s the process of analyzing and exploring

More information

COLLABORATIVE PORTAL MODEL FOR INTERCULTURAL TEAMS KNOWLEDGE MANAGEMENT

COLLABORATIVE PORTAL MODEL FOR INTERCULTURAL TEAMS KNOWLEDGE MANAGEMENT COLLABORATIVE PORTAL MODEL FOR INTERCULTURAL TEAMS KNOWLEDGE MANAGEMENT Abstract Claudiu Brandas 1 In the multinational organizations, more groups of individuals are being involved in the process of knowledge

More information

REGULATIONS FOR THE DEGREE OF MASTER OF SCIENCE IN INFORMATION TECHNOLOGY IN EDUCATION (MSc[ITE]) *

REGULATIONS FOR THE DEGREE OF MASTER OF SCIENCE IN INFORMATION TECHNOLOGY IN EDUCATION (MSc[ITE]) * 260 REGULATIONS FOR THE DEGREE OF MASTER OF SCIENCE IN INFORMATION TECHNOLOGY IN EDUCATION (MSc[ITE]) * (See also General Regulations) Any publication based on work approved for a higher degree should

More information

HOW TO MAKE SENSE OF BIG DATA TO BETTER DRIVE BUSINESS PROCESSES, IMPROVE DECISION-MAKING, AND SUCCESSFULLY COMPETE IN TODAY S MARKETS.

HOW TO MAKE SENSE OF BIG DATA TO BETTER DRIVE BUSINESS PROCESSES, IMPROVE DECISION-MAKING, AND SUCCESSFULLY COMPETE IN TODAY S MARKETS. HOW TO MAKE SENSE OF BIG DATA TO BETTER DRIVE BUSINESS PROCESSES, IMPROVE DECISION-MAKING, AND SUCCESSFULLY COMPETE IN TODAY S MARKETS. ALTILIA turns Big Data into Smart Data and enables businesses to

More information

Introduction to Epinomy TEXT TABLES TRIPLES. Big Data Semantics

Introduction to Epinomy TEXT TABLES TRIPLES. Big Data Semantics Introduction to Epinomy TEXT TABLES TRIPLES Big Data Semantics The Promise of Big Data The application of big data in industrial settings is driving a productivity revolution. - Jeff Immelt, CEO/GE Companies

More information

Introduction to BPM. Dr. Setrag Khoshafian. Chief Evangelist & VP of BPM Technology

Introduction to BPM. Dr. Setrag Khoshafian. Chief Evangelist & VP of BPM Technology Introduction to BPM Dr. Setrag Khoshafian Chief Evangelist & VP of BPM Technology Agenda: Business Transformation Through BPM Suite The Vision: Realizing the Adaptive Enterprise What is a BPM Suite? How

More information

KM Tools. Introduction. Communities of practice

KM Tools. Introduction. Communities of practice KM Tools Introduction The purpose of this note is to provide an overview of various tools that can be used for improving the sharing of knowledge and lessons. There are several inter-related tools, each

More information

The Role of the BI Competency Center in Maximizing Organizational Performance

The Role of the BI Competency Center in Maximizing Organizational Performance The Role of the BI Competency Center in Maximizing Organizational Performance Gloria J. Miller Dr. Andreas Eckert MaxMetrics GmbH October 16, 2008 Topics The Role of the BI Competency Center Responsibilites

More information

WebLearning SAP Best Practice CD-ROM Courseware and e-library Titles. SAP Best Practices for Business Intelligence and Warehouse - BW

WebLearning SAP Best Practice CD-ROM Courseware and e-library Titles. SAP Best Practices for Business Intelligence and Warehouse - BW WebLearning SAP Best Practice CD-ROM Courseware and e-library Titles SAP Best Practices for Business Intelligence and Warehouse - BW SAP Best Practices for Business Intelligence support the fast and smooth

More information

KM road map. Technology Components of KM. Chapter 5- The Technology Infrastructure. Knowledge Management Systems

KM road map. Technology Components of KM. Chapter 5- The Technology Infrastructure. Knowledge Management Systems Knowledge Management Systems Chapter 5- The Technology Infrastructure Dr. Mohammad S. Owlia Associate Professor, Industrial Engineering Department, Yazd University E-mail :owliams@gmail.com, Website :

More information

Knowledge Management Solutions - The IT Contribution

Knowledge Management Solutions - The IT Contribution Knowledge Management Solutions - The IT Contribution Dr David J. Skyrme David Skyrme Associates Limited The Knowledge Agenda Managing an organization s knowledge more effectively and exploiting it in the

More information

Knowledge Management Challenges in Web-Based Adaptive e-learning Systems

Knowledge Management Challenges in Web-Based Adaptive e-learning Systems Proceedings of I-KNOW 05 Graz, Austria, June 29 - July 1, 2005 Management Challenges in Web-Based Adaptive e-learning Systems Ekaterina Vasilyeva (University of Jyväskylä, Finland ekvasily@cc.jyu.fi) Mykola

More information

01219211 Software Development Training Camp 1 (0-3) Prerequisite : 01204214 Program development skill enhancement camp, at least 48 person-hours.

01219211 Software Development Training Camp 1 (0-3) Prerequisite : 01204214 Program development skill enhancement camp, at least 48 person-hours. (International Program) 01219141 Object-Oriented Modeling and Programming 3 (3-0) Object concepts, object-oriented design and analysis, object-oriented analysis relating to developing conceptual models

More information

REGULATIONS FOR THE DEGREE OF MASTER OF SCIENCE IN INFORMATION TECHNOLOGY IN EDUCATION (MSc[ITE])

REGULATIONS FOR THE DEGREE OF MASTER OF SCIENCE IN INFORMATION TECHNOLOGY IN EDUCATION (MSc[ITE]) 243 REGULATIONS FOR THE DEGREE OF MASTER OF SCIENCE IN INFORMATION TECHNOLOGY IN EDUCATION (MSc[ITE]) (See also General Regulations) Any publication based on work approved for a higher degree should contain

More information

Management Information Systems CHAPTER OUTLINE LEARNING OBJECTIVES. Information Systems: Concepts and Management. Types of Information Systems

Management Information Systems CHAPTER OUTLINE LEARNING OBJECTIVES. Information Systems: Concepts and Management. Types of Information Systems Management Information Systems Information Systems: Concepts and Management Dr. Shankar Sundaresan (Adapted from Introduction to IS, Rainer and Turban) CHAPTER OUTLINE Types of Information Systems Why

More information

SharePoint Case Study. US Army Corp of Engineers

SharePoint Case Study. US Army Corp of Engineers SharePoint Case Study US Army Corp of Engineers USACE: Enterprise Collaboration USACE Challenge Large scale retirement and human capital drain Need for knowledge retention Fundamental matrix reorganization

More information

Appendices master s degree programme Human Machine Communication 2014-2015

Appendices master s degree programme Human Machine Communication 2014-2015 Appendices master s degree programme Human Machine Communication 2014-2015 Appendix I Teaching outcomes of the degree programme (art. 1.3) 1. The master demonstrates knowledge, understanding and the ability

More information

Talend Metadata Manager. Reduce Risk and Friction in your Information Supply Chain

Talend Metadata Manager. Reduce Risk and Friction in your Information Supply Chain Talend Metadata Manager Reduce Risk and Friction in your Information Supply Chain Talend Metadata Manager Talend Metadata Manager provides a comprehensive set of capabilities for all facets of metadata

More information

Hiring and Developing Project Managers. PMI New Hampshire Chapter May 18, 2011 Bonnie Cooper, Technology Portfolio Director

Hiring and Developing Project Managers. PMI New Hampshire Chapter May 18, 2011 Bonnie Cooper, Technology Portfolio Director Hiring and Developing Project Managers PMI New Hampshire Chapter May 18, 2011 Bonnie Cooper, Technology Portfolio Director Key Learning Takeaways What to look for in a resume and tips for how to rank project

More information

Topic Communities in P2P Networks

Topic Communities in P2P Networks Topic Communities in P2P Networks Joint work with A. Löser (IBM), C. Tempich (AIFB) SNA@ESWC 2006 Budva, Montenegro, June 12, 2006 Two opposite challenges when considering Social Networks Analysis Nodes/Agents

More information

Creating an Enterprise Reporting Bus with SAP BusinessObjects

Creating an Enterprise Reporting Bus with SAP BusinessObjects September 10-13, 2012 Orlando, Florida Creating an Enterprise Reporting Bus with SAP BusinessObjects Kevin McManus LaunchWorks Session : 0313 Learning Points By consolidating people, process, data and

More information

SAP BusinessObjects Edge BI, Standard Package Preferred Business Intelligence Choice for Growing Companies

SAP BusinessObjects Edge BI, Standard Package Preferred Business Intelligence Choice for Growing Companies SAP Solutions for Small Businesses and Midsize Companies SAP BusinessObjects Edge BI, Standard Package Preferred Business Intelligence Choice for Growing Companies SAP BusinessObjects Edge BI, Standard

More information

Leadership IPA. Resource Development and Organization

Leadership IPA. Resource Development and Organization Leadership IPA Institute for Human Resource Development and Organization Can good leadership skills be learned? You know that your business organization depends on excellent management on all organizational

More information

Enterprise Resource Planning Analysis of Business Intelligence & Emergence of Mining Objects

Enterprise Resource Planning Analysis of Business Intelligence & Emergence of Mining Objects Enterprise Resource Planning Analysis of Business Intelligence & Emergence of Mining Objects Abstract: Build a model to investigate system and discovering relations that connect variables in a database

More information

Information Services for Smart Grids

Information Services for Smart Grids Smart Grid and Renewable Energy, 2009, 8 12 Published Online September 2009 (http://www.scirp.org/journal/sgre/). ABSTRACT Interconnected and integrated electrical power systems, by their very dynamic

More information

Who needs an ERP system anyway? Nitin Kale kale@usc.edu Information Technology Program, VSoE Spring 2013

Who needs an ERP system anyway? Nitin Kale kale@usc.edu Information Technology Program, VSoE Spring 2013 Who needs an ERP system anyway? Nitin Kale kale@usc.edu Information Technology Program, VSoE Spring 2013 Outline Why ERP? SAP Background SAP Architecture Integrated Business Process Sales About ITP/SAP

More information

B.Sc. in Computer Information Systems Study Plan

B.Sc. in Computer Information Systems Study Plan 195 Study Plan University Compulsory Courses Page ( 64 ) University Elective Courses Pages ( 64 & 65 ) Faculty Compulsory Courses 16 C.H 27 C.H 901010 MATH101 CALCULUS( I) 901020 MATH102 CALCULUS (2) 171210

More information

Best Practices for Implementing Oracle Data Integrator (ODI) July 21, 2011

Best Practices for Implementing Oracle Data Integrator (ODI) July 21, 2011 July 21, 2011 Lee Anne Spencer Founder & CEO Global View Analytics Cheryl McCormick Chief Architect Global View Analytics Agenda Introduction Oracle Data Integrator ODI Components Best Practices Implementation

More information

Business Process Modeling. Introduction to ARIS Methodolgy

Business Process Modeling. Introduction to ARIS Methodolgy Business Process Modeling Introduction to ARIS Methodolgy Agenda What s in modeling? Situation today Objectives of Process Management ARIS Framework and methods ARIS suite of products Live demo Page 2

More information

White paper on. From. Hexaware Technologies Limited (HTL)

White paper on. From. Hexaware Technologies Limited (HTL) White paper on ewise Knowledge Management Framework TM From Hexaware Technologies Limited (HTL) Hexaware Technologies Limited. All rights reserved. Copying or Distributing without prior permission is prohibited

More information

Course 803401 DSS. Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization

Course 803401 DSS. Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization Oman College of Management and Technology Course 803401 DSS Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization CS/MIS Department Information Sharing

More information

DEGREE CURRICULUM BIG DATA ANALYTICS SPECIALITY. MASTER in Informatics Engineering

DEGREE CURRICULUM BIG DATA ANALYTICS SPECIALITY. MASTER in Informatics Engineering DEGREE CURRICULUM BIG DATA ANALYTICS SPECIALITY MASTER in Informatics Engineering Module general information Module name BIG DATA ANALYTICS SPECIALITY Typology Optional ECTS 18 Temporal organization C1S2

More information

Layer2 Knowledge Management Suite for SharePoint V3

Layer2 Knowledge Management Suite for SharePoint V3 Layer2 Knowledge Management Suite for SharePoint V3 Frank Daske Business Development Manager Layer2 10.11.2014 Layer2 Successful for more than 20 years in the fields of SharePoint,.NET-programming and

More information

SAP Business Objects BO BI 4.1

SAP Business Objects BO BI 4.1 SAP Business Objects BO BI 4.1 SAP Business Objects (a.k.a. BO, BOBJ) is an enterprise software company, specializing in business intelligence (BI). Business Objects was acquired in 2007 by German company

More information

University of Vienna, Institute for Computer Science and Business Administration, Department of Knowledge Engineering

University of Vienna, Institute for Computer Science and Business Administration, Department of Knowledge Engineering ADVISOR Meta-Modeling Tool for Individual Instructional Design Judit Bajnai 1, Dimitris Karagiannis 2 University of Vienna, Institute for Computer Science and Business Administration, Department of Knowledge

More information

ADVANCED HEALTH LEADERSHIP PROGRAM

ADVANCED HEALTH LEADERSHIP PROGRAM ADVANCED HEALTH LEADERSHIP PROGRAM Turning leadership potential into leadership ability MOVING INTO THE LEAD POSITION As a senior health care executive, you have demonstrated your leadership potential

More information

Creating corporate knowledge with the PADDLE system

Creating corporate knowledge with the PADDLE system Creating corporate knowledge with the PADDLE system Klaus Tochtermann *+ and Andreas Kussmaul * * Research Institute for Applied Knowledge Processing (FAW) PO Box 2060, 89081 Ulm, Germany, E-Mail: tochterm

More information

An Enterprise Framework for Business Intelligence

An Enterprise Framework for Business Intelligence An Enterprise Framework for Business Intelligence Colin White BI Research May 2009 Sponsored by Oracle Corporation TABLE OF CONTENTS AN ENTERPRISE FRAMEWORK FOR BUSINESS INTELLIGENCE 1 THE BI PROCESSING

More information

Flexible Core FC (Total 12 credits) Analytical Skills SS. Credits 30 6 6 6 6 3 18 72

Flexible Core FC (Total 12 credits) Analytical Skills SS. Credits 30 6 6 6 6 3 18 72 Master of Business Administration (Technology t) Department of t Studies The overall credits structure Category Common Core CC Programme Core (PC) (Total 42 credits) Unique Core UC Programme Focus Core

More information

Business Capability Model A Starting Point for Enterprise Architecture

Business Capability Model A Starting Point for Enterprise Architecture Business Capability Model A Starting Point for Enterprise Architecture Huw Morgan email: hmorgan@toronto.ca Head Enterprise Architecture City of Toronto, Ontario Canada Salah Sharieh email: Salah@ivedha.com

More information

Does Artificial Tutoring foster Inquiry Based Learning?

Does Artificial Tutoring foster Inquiry Based Learning? Vol. 25, Issue 1, 2014, 123-129 Does Artificial Tutoring foster Inquiry Based Learning? ALEXANDER SCHMOELZ *, CHRISTIAN SWERTZ, ALEXANDRA FORSTNER, ALESSANDRO BARBERI ABSTRACT: This contribution looks

More information

SharePoint Term Store & Taxonomy Design Harold Brenneman Lighthouse Microsoft Technology Group

SharePoint Term Store & Taxonomy Design Harold Brenneman Lighthouse Microsoft Technology Group SharePoint Term Store & Taxonomy Design Harold Brenneman Lighthouse Microsoft Technology Group Lighthouse Computer Services, All rights reserved Harold Brenneman Consulting Manager MBA, focusing on the

More information

Business Performance & Data Quality Metrics. David Loshin Knowledge Integrity, Inc. loshin@knowledge-integrity.com (301) 754-6350

Business Performance & Data Quality Metrics. David Loshin Knowledge Integrity, Inc. loshin@knowledge-integrity.com (301) 754-6350 Business Performance & Data Quality Metrics David Loshin Knowledge Integrity, Inc. loshin@knowledge-integrity.com (301) 754-6350 1 Does Data Integrity Imply Business Value? Assumption: improved data quality,

More information

Elsa C. Augustenborg Gary R. Danielson Andrew E. Beck

Elsa C. Augustenborg Gary R. Danielson Andrew E. Beck Elsa C. Augustenborg Gary R. Danielson Andrew E. Beck Pacific Northwest National Laboratory PNNL-SA-75867 Overview Technical challenges Institutional challenges Architectural approach Examples: Promising

More information

Building Your Strategic Business Case for HR Technology. Speaker: Kristie Evans Managing Principal HR Project Manager PM Instructor

Building Your Strategic Business Case for HR Technology. Speaker: Kristie Evans Managing Principal HR Project Manager PM Instructor Building Your Strategic Business Case for HR Technology Speaker: Kristie Evans Managing Principal HR Project Manager PM Instructor Agenda Today s Goals HR Value Outcomes Break 10 am Methodologies Business

More information

THE INTERNATIONAL JOURNAL OF BUSINESS & MANAGEMENT

THE INTERNATIONAL JOURNAL OF BUSINESS & MANAGEMENT THE INTERNATIONAL JOURNAL OF BUSINESS & MANAGEMENT Performance Management Model for SMEs Rusaneanu Alexandra Ph.D. Student, Faculty of Cybernetics, Statistics and Economic Informatics, Bucharest University

More information

Dynamic Enterprise Performance Management

Dynamic Enterprise Performance Management TM Dynamic Enterprise Performance Management Data. Insights. Action. 1 Pull insight out of the chaos Chaos. It s a word that few CFOs would like associated with their businesses; but when it comes to decision

More information

KNOWLEDGE MANAGEMENT

KNOWLEDGE MANAGEMENT KNOWLEDGE MANAGEMENT G. AMIRTHRAJ MBA-II YEAR MANAKULA VINAYAGAR INSTITUTE OF TECHNOLOGY amirthrajbba@gmail.com Mobile no 9629321360 ABSTRACT This paper contains topics of interest for those in the Knowledge

More information

Session Two. Organizational Knowledge Management

Session Two. Organizational Knowledge Management Knowledge Management Session Two Organizational Knowledge Management Intellectual capital Intellectual capital is combination of the Intellectual property (IP) held by a business and the people in that

More information

Big Data Analytics with IBM Cognos BI Dynamic Query IBM Redbooks Solution Guide

Big Data Analytics with IBM Cognos BI Dynamic Query IBM Redbooks Solution Guide Big Data Analytics with IBM Cognos BI Dynamic Query IBM Redbooks Solution Guide IBM Cognos Business Intelligence (BI) helps you make better and smarter business decisions faster. Advanced visualization

More information