by Ho Kwok-Wai. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1998. / Includes bibliographical references (leaves 121-126). / Abstract also in Chinese. / ABSTRACT --- p.II / TABLE OF CONTENTS --- p.V / LIST OF FIGURES --- p.X / ACKNOWLEDGMENTS --- p.XII / Chapter CHAPTER 1 --- INTRODUCTION --- p.1 / Chapter 1.1 --- Need support in data integration --- p.2 / Chapter 1.2 --- Need support in On-line Analytical Processing (OLAP) --- p.4 / Chapter 1.3 --- The proposed research --- p.5 / Chapter 1.4 --- Scope of the study --- p.6 / Chapter 1.5 --- Organization of the Thesis --- p.7 / Chapter CHAPTER 2 --- LITERATURE REVIEW --- p.8 / Chapter 2.1 --- Executive Information System (EIS) --- p.9 / Chapter 2.1.1 --- Definition --- p.9 / Chapter 2.1.2 --- Goals of Executive Information System --- p.10 / Chapter 2.1.3 --- Role of Executive Information System --- p.11 / Chapter 2.1.4 --- General characteristics of Executive Information System --- p.12 / Chapter 2.1.4.1 --- A separate executive database --- p.12 / Chapter 2.1.4.2 --- Data aggregation facilities --- p.12 / Chapter 2.1.4.3 --- Drill-Down (and Roll-Up) --- p.13 / Chapter 2.1.4.4 --- Trend analysis --- p.13 / Chapter 2.1.4.5 --- Highly user-friendly interface / Chapter 2.1.4.6 --- Flexible menu-based data retrieval --- p.14 / Chapter 2.1.4.7 --- High quality of business graphics --- p.14 / Chapter 2.1.4.8 --- Simple modeling facilities --- p.15 / Chapter 2.1.4.9 --- Communications --- p.15 / Chapter 2.1.4.10 --- Automated links to other databases --- p.15 / Chapter 2.1.4.11 --- Briefing book --- p.16 / Chapter 2.1.5 --- Architecture of Executive Information System --- p.16 / Chapter 2.1.6 --- Potential problems of Executive Information System --- p.18 / Chapter 2.2 --- On-line Analytical Processing (OLAP) --- p.20 / Chapter 2.2.1 --- Limitations of OLAP --- p.21 / Chapter 2.2.2 --- Integration of heterogeneous distributed systems and databases --- p.21 / Chapter 2.3 --- Data Warehousing (DW) --- p.23 / Chapter 2.3.1 --- Definition --- p.24 / Chapter 2.3.1.1 --- Subject-Orientation --- p.24 / Chapter 2.3.1.2 --- Integration --- p.25 / Chapter 2.3.1.3 --- Time Variancy --- p.26 / Chapter 2.3.1.4 --- Nonvolatile --- p.27 / Chapter 2.3.2 --- Goal of Data Warehousing --- p.28 / Chapter 2.3.3 --- Architecture of Data Warehousing --- p.28 / Chapter 2.3.3.1 --- Integrator --- p.29 / Chapter 2.3.3.2 --- Monitor --- p.30 / Chapter 2.3.3.3 --- Data Warehouse --- p.31 / Chapter 2.3.4 --- Application in EIS --- p.31 / Chapter 2.3.5 --- Problems associated with Data Warehouse --- p.33 / Chapter 2.4 --- The Metadatabase Approach --- p.35 / Chapter 2.4.1 --- Goals of the Metadatabase Approach --- p.36 / Chapter 2.4.2 --- Structure of the Metadatabase Approach --- p.37 / Chapter 2.4.3 --- Metadatabase Approach functionalities --- p.40 / Chapter 2.4.4 --- TSER Modeling Technique --- p.42 / Chapter 2.4.4.1 --- The Functional Model --- p.43 / Chapter 2.4.4.1.1 --- Subject --- p.43 / Chapter 2.4.4.1.2 --- Context --- p.43 / Chapter 2.4.4.2 --- The Structural Model --- p.44 / Chapter 2.4.4.2.1 --- Entity --- p.44 / Chapter 2.4.4.2.2 --- Plural Relationship (PR) --- p.45 / Chapter 2.4.4.2.3 --- Functional Relationship (FR) --- p.45 / Chapter 2.4.4.2.4 --- Mandatory Relationship (MR) --- p.45 / Chapter 2.4.4.3 --- Metadatabase Repository --- p.46 / Chapter CHAPTER 3 --- RESEARCH METHODOLOGY --- p.48 / Chapter 3.1 --- Literature review --- p.49 / Chapter 3.2 --- Architecture construction --- p.50 / Chapter 3.3 --- Algorithm and methods development --- p.50 / Chapter 3.4 --- Prototyping --- p.51 / Chapter 3.5 --- Analysis and evaluation --- p.51 / Chapter CHAPTER 4 --- MULTIDIMENSIONAL DATA ANALYSIS --- p.53 / Chapter 4.1 --- Multidimensional Analysis Unit (MAU) --- p.54 / Chapter 4.2 --- New steps for multidimensional data analysis --- p.57 / Step 1 Indicator Selection --- p.57 / Step 2 Dimensions Determination --- p.58 / Step 3 Dimensions Selection --- p.58 / Step 4 MAU Sub-view Materialization --- p.59 / Step 5 On-line Analytical Processing (OLAP) --- p.59 / Chapter CHAPTER 5 --- NEW ARCHITECTURE FOR EXECUTIVE INFORMATION SYSTEM --- p.60 / Chapter 5.1 --- Evolution of EIS architecture --- p.60 / Chapter 5.2 --- Objectives of the new EIS architecture --- p.63 / Chapter 5.3 --- The new EIS architecture --- p.65 / Chapter 5.3.1 --- The Metadatabase Management System (MDBMS) --- p.67 / Chapter 5.3.2 --- The ROLAP/MDB Interface --- p.68 / Chapter 5.3.2.1 --- The Indicator Browser --- p.69 / Chapter 5.3.2.2 --- The Dimension Selector --- p.70 / Chapter 5.3.2.3 --- The Multidimensional Data Analyzer --- p.70 / Chapter 5.3.3 --- The ROLAP/MDB Analyzer --- p.71 / Chapter 5.3.3.1 --- The Dimension Determination Module --- p.71 / Chapter 5.3.3.2 --- The MAU Schema Saver --- p.72 / Chapter 5.3.3.3 --- The MQL Generator --- p.72 / Chapter 5.3.3.4 --- The MAU Sub-view Materializer --- p.72 / Chapter 5.3.3.5 --- The ROLAP/MDB Processor --- p.73 / Chapter CHAPTER 6 --- ALGORITHM AND METHODS FOR THE NEW EIS ARCHITECTURE.… --- p.74 / Chapter 6.1 --- Indicator Browser --- p.74 / Chapter 6.2 --- Determining dimensions and storing MAU Schema --- p.77 / Chapter 6.3 --- Dimensions selection --- p.82 / Chapter 6.4 --- Materialize MAU Sub-view --- p.82 / Chapter 6.5 --- Multidimensional data analysis in relational manner --- p.85 / Chapter 6.5.1 --- SQL statements for three dimensional slide operation --- p.87 / Chapter 6.5.2 --- SQL statements for n-dimensional slide operation --- p.89 / Chapter 6.5.3 --- SQL statements for n-dimensional dice operation --- p.91 / Chapter 6.5.4 --- Rotation --- p.92 / Chapter 6.5.5 --- Drill-Down (and Roll-Up) --- p.94 / Chapter CHAPTER 7 --- A CASE STUDY USING THE PROTOTYPED EIS --- p.97 / Chapter 7.1 --- A Business Case --- p.97 / Chapter 7.2 --- Multidimensional data analysis --- p.98 / Step 1 Indicator selection --- p.99 / Step 2 & 3 Dimension determination & MAU Schema storage --- p.100 / Step 4 Dimension specification --- p.102 / Step 5 MAU Sub-view formation --- p.104 / Step 6 Multidimensional data analysis operations --- p.104 / Chapter CHAPTER 8 --- EVALUATION OF THE NEW EIS ARCHITECTURE --- p.110 / Chapter 8.1 --- Improvements --- p.110 / Chapter 8.1.1 --- Adaptability --- p.111 / Chapter 8.1.2 --- Flexibility --- p.112 / Chapter 8.2 --- New features of the new EIS architecture --- p.113 / Chapter 8.2.1 --- Access on-line production data --- p.113 / Chapter 8.2.2 --- Facilitate data-mining --- p.114 / Chapter 8.3 --- Processing efficiency problem --- p.114 / Chapter 8.3.1 --- MAU Schema Saver for reusability --- p.115 / Chapter 8.3.2 --- Dimension Selector to scale down data retrieval --- p.116 / Chapter 8.3.3 --- MAU Sub-view materialization for reusability --- p.116 / Chapter 8.3.4 --- Incorporate data warehouse to reduce access to local systems --- p.117 / Chapter 8.4 --- Summary --- p.117 / Chapter CHAPTER 9 --- CONCLUSION --- p.118 / Chapter CHAPTER 10 --- DIRECTION OF FUTURE STUDIES --- p.120 / REFERENCES --- p.121 / APPENDIX --- p.127 / Global Information Resources Dictionary (GIRD) --- p.127
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_322283 |
| Date | January 1998 |
| Contributors | Ho, Kwok-Wai., Chinese University of Hong Kong Graduate School. Division of Business Administration. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, xii, 127 leaves : ill. ; 30 cm. |
| Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
Page generated in 0.0022 seconds