Business intelligence and agile methodologies for knowledge based organizations

Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications Asim Abdel Rahman El Sheikh Arab Academy for Banking and Financial Sciences, Jordan Mouhib Alnoukari Arab International University, Syria Senior Editorial Director: Director of Book Publications: Editorial Director: Acquisitions Editor: Development Editor: Production Editor: Typesetters: Print Coordinator: Cover Design: Kristin Klinger Julia Mosemann Lindsay Johnston Erika Carter Myla Harty Sean Woznicki Christen Croley, Adrienne Freeland Jamie Snavely Nick Newcomer Published in the United States of America by Business Science Reference (an imprint of IGI Global) 701 E Chocolate Avenue Hershey PA 17033 Tel: 717-533-8845 Fax: 717-533-8661 E-mail: cust@igi-global.com Web site: http://www.igi-global.com Copyright © 2012 by IGI Global All rights reserved No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher Product or company names used in this set are for identification purposes only Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark Library of Congress Cataloging-in-Publication Data Business intelligence and agile methodologies for knowledge-based organizations: cross-disciplinary applications / Asim Abdel Rahman El Sheikh and Mouhib Alnoukari, editors p cm Includes bibliographical references and index Summary: “This book highlights the marriage between business intelligence and knowledge management through the use of agile methodologies, offering perspectives on the integration between process modeling, agile methodologies, business intelligence, knowledge management, and strategic management” Provided by publisher ISBN 978-1-61350-050-7 (hardcover) ISBN 978-1-61350-051-4 (ebook) ISBN 978-1-61350-052-1 (print & perpetual access) Business intelligence Knowledge management I El Sheikh, Asim Abdel Rahman II Alnoukari, Mouhib, 1965HD38.7.B8715 2012 658.4’72 dc23 2011023040 British Cataloguing in Publication Data A Cataloguing in Publication record for this book is available from the British Library All work contributed to this book is new, previously-unpublished material The views expressed in this book are those of the authors, but not necessarily of the publisher Editorial Advisory Board Basel Ojjeh, Yahoo, Inc., USA Basel Solaiman,Telecom, France Faek Diko, Arab International University, Syria Ghassan Kanaan, Arab Academy for Banking and Financial Sciences, Jordan Moustafa Ghanem, Imperial College, UK Moutasem Shafaamry, International University for Sciences and Technology, Syria Rakan Razouk, Damascus University, Syria Ramez Hajislam, Arab International University, Syria Riyad Al-Shalabi, Arab Academy for Banking and Financial Sciences, Jordan Salah Dowaji, United Nations Development Programme (UNDP), Syria List of Reviewers Basel Ojjeh, Yahoo, Inc., USA Basel Solaiman, Telecom, France Deanne Larson, Larson & Associates, LLC, USA Enric Mayol Sarroca, Technical University of Catalonia, Spain Faek Diko, Arab International University, Syria Ghassan Kanaan, Arab Academy for Banking and Financial Sciences, Jordan Jorge Fernández-González, Technical University of Catalonia, Spain Moustafa Ghanem, Imperial College, UK Moutasem Shafaamry, International University for Sciences and Technology, Syria Kinaz Aytouni, Arab International University, Syria Martin Molhanec, Czech Technical University, Czech Republic Rakan Razouk, Damascus University, Syria Ramez Hajislam, Arab International University, Syria Riyad Al-Shalabi, Arab Academy for Banking and Financial Sciences, Jordan Salah Dowaji, United Nations Development Programme (UNDP), Syria Samir Hammami, International University for Sciences and Technology, Syria Zaidoun Alzoabi, Martin Luther University, Germany Table of Contents Foreword vii Preface x Acknowledgment xv Chapter Business Intelligence: Body of Knowledge Mouhib Alnoukari, Arab International University, Syria Humam Alhammami Alhawasli, Arab Academy for Banking and Financial Sciences, Syria Hatem Abd Alnafea, Arab Academy for Banking and Financial Sciences, Syria Amjad Jalal Zamreek, Arab Academy for Banking and Financial Sciences, Syria Chapter Agile Software: Body of Knowledge 14 Zaidoun Alzoabi, Martin Luther University, Germany Chapter Knowledge Management in Agile Methods Context: What Type of Knowledge is Used by Agilests? 35 Zaidoun Alzoabi, Martin Luther University, Germany Chapter Knowledge Discovery Process Models: From Traditional to Agile Modeling 72 Mouhib Alnoukari, Arab International University, Syria Asim El Sheikh, The Arab Academy for Banking and Financial Sciences, Jordan Chapter Agile Methodologies for Business Intelligence 101 Deanne Larson, Larson & Associates, LLC, USA Chapter BORM: Agile Modeling for Business Intelligence 120 Martin Molhanec, Czech Technical University, Czech Republic Vojtěch Merunka, Czech University of Life Sciences, Czech Republic Chapter Agile Approach to Business Intelligence as a Way to Success 132 J Fernández, Technical University of Catalonia, Spain E Mayol, Technical University of Catalonia, Spain J.A Pastor, Universitat Oberta de Catalunya, Spain Chapter Enhancing BI Systems Application through the Integration of IT Governance and Knowledge Capabilities of the Organization 161 Samir Hammami, The International University for Sciences and Technology, Syria Firas Alkhaldi, King Saud University, Saudi Arabia Chapter ASD-BI: A Knowledge Discovery Process Modeling Based on Adaptive Software Development Agile Methodology 183 Mouhib Alnoukari, Arab International University, Syria Chapter 10 Measurement of Brand Lift from a Display Advertising Campaign 208 Jagdish Chand, Yahoo! Inc, USA Chapter 11 Suggested Model for Business Intelligence in Higher Education 223 Zaidoun Alzoabi, Arab International University, Syria Faek Diko, Arab International University, Syria Saiid Hanna, Arab International University, Syria Chapter 12 Business Intelligence and Agile Methodology for Risk Management in Knowledge-Based Organizations 240 Muhammad Mazen Almustafa, The Arab Academy for Banking and Financial Sciences, Syria Dania Alkhaldi, The Arab Academy for Banking and Financial Sciences, Syria Chapter 13 Towards a Business Intelligence Governance Framework within E-Government System 268 Kamal Atieh, Arab Academy for Banking and Financial Sciences, Syria Elias Farzali, Arab Academy for Banking and Financial Sciences, Syria Chapter 14 Business Intelligence in Higher Education: An Ontological Approach 285 Constanta-Nicoleta Bodea, Academy of Economic Studies, Romania Chapter 15 Web Engineering and Business Intelligence: Agile Web Engineering Development and Practice 313 Haroon Altarawneh, Arab International University, Syria Sattam Alamaro, Arab International University, Syria Asim El Sheikh, Arab Academy for Banking and Financial Sciences, Jordan About the Contributors 345 Index 351 vii Foreword Business intelligence is made possible by the existence of Information Technology Business intelligence aims to support better business decision-making To use agile methodologies and to develop Information Technology faster and cheaper is to put an icing on the cake I doubt that Hans Peter Luhn was aware of the consequences of Business intelligence when he coined the term in 1958 Today, 50 years later, “Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications” is coming out The book is comprised of fifteen chapters and is a collaboration work of 29 scholars from different countries and 11 different research organizations The end product is made possible by the use of the impossible ideas dreamt by visionaries, where the first two chapters discuss the body of knowledge of both business intelligence & agile software, followed by chapter and 4, which discuss knowledge management and discovery in relation to agility essence Subsequently, Business intelligence agile methodologies, agile modeling, agile approach, and governance are discussed in chapters 5, 6, 7, and Business intelligence & adaptive software development are covered in chapter 9, followed by chapter 10, which covers yahoo experience in brand lifting Throughout the next three chapters, the authors tackle issues like: risk management in business intelligence and agile methodology, business intelligence governance in e-government system, and business intelligence in higher education Ultimately, the last chapter discusses Web engineering and business intelligence The 1st chapter, Business Intelligence: Body of Knowledge, attempts to define Business Intelligence body of knowledge The chapter starts with a historical overview of Business Intelligence stating its different stages and progressions Then, the authors present an overview of what Business Intelligence is, architecture, goals, and main components including: data mining, data warehousing, and data marts Finally, the Business Intelligence ‘marriage’ with knowledge management is discussed in details The 2nd chapter entitled: Agile Software: Body of Knowledge The chapter explains agile methodologies, its general characteristics, and quick description of the famous agile methods known in the industry and research The 3rd chapter with the topic: Knowledge Management in Agile Methods Context: What Type of Knowledge is Used by Agilests? Provides an overview on the knowledge management techniques used in different software development processes with focus on agile methods Then tests the claim of more informal knowledge sharing, and see the mechanisms used to exchange and document knowledge The 4th chapter: Knowledge Discovery Process Models: From Traditional to Agile Modeling, provides a detailed discussion on the Knowledge Discovery (KD) process models that have innovative life cycle steps The chapter proposes a categorization of the existing KD models Furthermore, the chapter viii deeply analyzes the strengths and weaknesses of the leading KD process models, with the supported commercial systems and reported applications, and their matrix characteristics The 5th chapter Agile Methodologies for Business Intelligence explores the application of agile methodologies and principles to business intelligence delivery The practice of business intelligence delivery with an Agile methodology has yet to be proved to the point of maturity and stability; the chapter outlined Agile principles and practices that have emerged as best practices and formulate a framework to outline how an Agile methodology could be applied to business intelligence delivery Likewise, the 6th chapter has the title of: BORM: Agile Modeling for Business Intelligence, whereby BORM (Business and Object Relation Modeling) method is described and presented through an application example created in Craft a CASE analysis and modeling tool The chapter begins by introducing fundamental principles of BORM method Then the chapter goes on to highlights most important concepts of BORM In order to further enhance the understanding of BROM, the chapter applies BROM on a simple, descriptive example The 7th chapter entitled: Agile Approach to Business Intelligence as a Way to Success presents an overview of several methodological approaches used in Business Intelligence (BI) projects, as well as Data Warehouse projects In this chapter, the authors show that there is a strong relationship between the so-called Critical Success Factors of BI projects and the Agile Principles As such, with basis on sound analysis, the authors conclude that successful BI methodologies must follow an agile approach In this context, the 8th chapter, with the title: Enhancing BI Systems Application through the Integration of IT Governance and Knowledge Capabilities of the Organization, cites a study reports the results of an empirical examination of the effect of IT governance framework based on COBIT and Organizational Knowledge Pillars in enhancing the IT Governance framework (Business / IT Strategic alignment, Business value delivery, risk management, Resource management, performance measurement) to improve the Business Intelligence Application and Usability within the organization Quantitative method is adopted for answering the research questions The 9th chapter: ASD-BI: A Knowledge Discovery Process Modeling Based on Adaptive Software Development Agile Methodology proposes a new knowledge discovery process model named “ASD-BI” that is based on Adaptive Software Development (ASD) agile methodology ASD-BI process model was proposed to enhance the way of building Business Intelligence and Data Mining applications While the 10th chapter: Measurement of Brand Lift from a Display Advertising Campaign, describes an Advanced Business Intelligence System have been built at Yahoo! to measure the lift in brand awareness driven from the display advertising campaigns on Yahoo network It helped us to show to the advertisers that display advertising is working in lifting awareness and brand affinity Whereas, the 11th chapter entitled: Suggested Model for Business Intelligence in Higher Education, describes a data mining approach as one of the business intelligence methodologies for possible use in higher education The importance of this model arises from the fact that it starts from a system approach to the university management, looking at the university as input, processing, output, and feedback, and then applies different business intelligence tools and methods to every part of the system in order to enhance the business decision making process The 12th chapter: Business Intelligence and Agile Methodology for Risk Management in KnowledgeBased Organizations, discusses and explores the role of Business Intelligence and Agile methodology in managing risk effectively and efficiently It explores the risk management traditional tools that are commonly used, the role of Business Intelligence in risk management, and the role of agile methodology in risk management ix The 13th chapter: Towards a Business Intelligence Governance Framework within E-Government System, will take E-Government project in Syria as case study to explore, empirically, the main barriers of E-Government project in developing countries; how to take benefits from business intelligence (BI) to build a framework, which could be adopted by developing countries in their E-Government projects In the same context, the 14th chapter: Business Intelligence in Higher Education – an Ontological Approach, presents an ontology-based knowledge management system developed for a Romanian university The starting point for the development knowledge management system is the classic Information Management System (IMS), which is used for the education & training and research portfolio management In conclusion, the last chapter entitled Web Engineering and Business Intelligence: Agile Web Engineering Development and Practice highlights the main issues related to Web engineering practices and how they support business intelligence projects, the need for Web engineering, and the development methods used in Web engineering Web Engineering is a response to the early, chaotic development of Web sites and applications as well as recognition of the deference between web developers and conventional software developers Viewed broadly, Web Engineering is both a conscious and pro-active approach and a growing collection of theoretical and empirical researches Evon M O Abu-Taieh International Journal of Aviation Technology, Engineering and Management (IJATEM) Evon M O Abu-Taieh currently manages the SDI/GIS World Bank project in Jordan and lectures in AIU, after serving for years as Economic Commissioner for Air Transport in the Civil Aviation Regulatory Commission-Jordan She has a PhD in simulation and is a USA graduate for both her Master of Science and Bachelor’s degrees with a total experience of 21 years Dr Abu-Taieh is an author of many renowned research papers in the airline, IT, PM, KM, GIS, AI, simulation, security, and ciphering She is the editor/author of Utilizing Information Technology Systems across Disciplines: Advancements in the Application of Computer Science, Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications, and Simulation and Modeling: Current Technologies and Applications She is Editor-in-Chief of the International Journal of Aviation Technology, and Engineering and Management and has been a guest editor for the Journal of Information Technology Research Dr Abu-Taieh holds positions on the editorial board of the International Journal of E-Services and Mobile Applications, International Journal of Information Technology Project Management, and International Journal of Information Systems and Social Change In her capacity as head of IT department in the ministry of transport for 10 years, she developed systems such as ministry of transport databank, auditing system for airline reservation systems, and maritime databank, among others Furthermore, she has worked in the Arab Academy as an Assistant Professor, a Dean’s Assistant, and London School of Economics (LSE) Program Director in AABFS She has been appointed many times as track chair and reviewer in many international conferences: IRMA, CISTA, WMSCI, and Chaired AITEM2010 ... University Chapter 12, Business Intelligence and Agile Methodology for Risk Management in Knowledge-Based Organizations, discusses and explores the role of Business Intelligence and Agile methodology... agile methodologies for business intelligence This category was highlighted by more than six chapters The last and 6th category discusses the application of agile methodologies and business intelligence. .. 12th chapter: Business Intelligence and Agile Methodology for Risk Management in KnowledgeBased Organizations, discusses and explores the role of Business Intelligence and Agile methodology in