Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications

370 Pages·2011·10.62 MB·English

by  Asim Abdel Rahman El Sheikh

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
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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) 1. Business intelligence. 2. Knowledge management. I. El Sheikh, Asim Abdel Rahman. II. Alnoukari, Mouhib,
1965-
HD38.7.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All work contributed to this book is new, previously-unpublished material.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 1
Business Intelligence: Body of Knowledge ............................................................................................1
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 2
Agile Software: Body of Knowledge ....................................................................................................14
Zaidoun Alzoabi, Martin Luther University, Germany
Chapter 3
Knowledge Management in Agile Methods Context: What Type of Knowledge
is Used by Agilests? ..............................................................................................................................35
Zaidoun Alzoabi, Martin Luther University, Germany
Chapter 4
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 5
Agile Methodologies for Business Intelligence ..................................................................................101
Deanne Larson, Larson & Associates, LLC, USA
Chapter 6
BORM: Agile Modeling for Business Intelligence .............................................................................120
Martin Molhanec, Czech Technical University, Czech Republic
Vojtěch Merunka, Czech University of Life Sciences, Czech Republic
Chapter 7
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 8
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 9
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-Disciplin-
ary Applications” is coming out.
The book is comprised of fifteen chapters and is a collaboration work of 29 scholars from 8 differ-
ent 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 3 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 8.
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 methodolo-
gies, 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, pro-
vides 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 meth-
odologies 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 appli-
cation 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 con-
cepts 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, Busi-
ness 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 Knowledge-
Based 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 methodol-
ogy 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 Ap-
proach, 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 Man-
agement 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 Engi-
neering 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 con-
ventional 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 3
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 Ap-
plications, 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.