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Strategic Data Warehousing: Achieving Alignment with Business [Kõva köide]

  • Formaat: Hardback, 218 pages, kõrgus x laius: 234x156 mm, kaal: 460 g
  • Ilmumisaeg: 29-Jul-2009
  • Kirjastus: Auerbach
  • ISBN-10: 1420083945
  • ISBN-13: 9781420083941
Teised raamatud teemal:
  • Formaat: Hardback, 218 pages, kõrgus x laius: 234x156 mm, kaal: 460 g
  • Ilmumisaeg: 29-Jul-2009
  • Kirjastus: Auerbach
  • ISBN-10: 1420083945
  • ISBN-13: 9781420083941
Teised raamatud teemal:
Organization of data warehouses is a vital, but often neglected, aspect of growing an enterprise. Unlike most books on the subject that focus on either the technical aspects of building data warehouses or on business strategies, this valuable reference synthesizes technological know-how with managerial best practices to show how improved alignment between data warehouse plans and business strategies can lead to successful data warehouse adoption capable of supporting an enterprises entire infrastructure.





Strategic Data Warehousing: Achieving Alignment with Business provides data warehouse developers, business managers, and IT professionals and administrators with an integrated approach to achieving successful and sustainable alignment of data warehouses and business goals. More complete than any other text in the field, this comprehensive reference details the joint roles and responsibilities of the data warehouse and business managers in achieving strategic alignment, business user satisfaction, technical integration, and improved flexibility.





Complete with case studies that depict real-world scenarios, the text:



















Examines the organizational, user, data, and technological factors proven to promote successful data warehousing













Includes actionable solutions for achieving strategic alignment













Provides a model that readers can apply in aligning their own data warehouse needs and business goals











Achieving sustainable alignment between the data warehouse and business strategies is a continuous process. Armed with this valuable reference, readers will be able to gain the solid understanding of the organizational, technical, data, and user factors needed to promote a successful data warehouse adoption and become active partners in leveraging this powerful, but often overlooked, information reso
Preface xiii
Acknowledgments xv
About the Author xvii
Introduction
1(8)
Data Warehouse
2(1)
Challenges in Data Warehousing
3(1)
Goal
4(1)
Strategic Alignment
5(1)
Current Status of Strategic Alignment Research
6(1)
The Gap
7(1)
Case Studies
8(1)
Organization of Remaining
Chapters
8(1)
Benefits of a Data Warehouse
9(10)
Evolution of Information Technology
9(1)
Evolution of Information Systems
10(2)
Benefits of a Data Warehouse
12(6)
Decision Support
12(1)
Data Analysis
13(2)
Data Mining
15(1)
Enhanced Integrated Data
16(1)
Efficiency Improvements
17(1)
Customer Management
17(1)
Conclusion
18(1)
Difference Between Data Warehouses and Traditional Operational Systems
19(10)
Features of a Data Warehouse
19(2)
Subject Oriented
19(1)
Integrated
20(1)
Nonvolatile
20(1)
Time Variant
21(1)
Historical
21(1)
Difference Between Data Warehouses and Traditional Operational Systems
21(8)
Used by Management
22(1)
Strategic Value
22(1)
Strategic Direction
23(1)
Online Analytical Processing
23(1)
Subject Oriented
24(1)
Historical Data
24(1)
Unpredictable Query Pattern
25(1)
Other Important Differences
25(4)
Data Warehouse Development Process
29(24)
Data Sourcing
30(1)
Data Modeling
30(12)
Transforming Enterprise Data Model to Data Warehouse Model
34(1)
Remove Operational Data
35(1)
Add an Element of Time to the Key Structure
35(1)
Add Appropriate Derived Data
35(1)
Transform Data Relationships into Data Artifacts
36(1)
Accommodate Different Levels of Granularity
37(2)
Merge Like Data from Different Tables
39(1)
Create Arrays of Data
40(1)
Separate Data Attributes by Stability Characteristics
41(1)
Data Extraction and Conversion
42(4)
Data Extraction
43(1)
Data Cleaning
43(1)
Loading the Data Warehouse
44(1)
Refresh
45(1)
Data Warehouse Database Management System
46(2)
Differences between Relational and Multidimensional Designs
47(1)
Data Warehouse Administration
48(1)
Access and Business Intelligence Tools
49(1)
Metadata
50(3)
Data Warehouse Architectures
53(4)
Factors Influencing the Success of a Data Warehouse
57(18)
Organization Factors that Influence Success of a Data Warehouse
58(6)
User Factors that Influence Success of a Data Warehouse
64(1)
Technology Factors that Influence Success of a Data Warehouse
65(2)
Data Factors that Influence Success of a Data Warehouse
67(8)
Data Quality
68(1)
Intrinsic Data Quality
69(1)
Contextual Data Quality
70(1)
Accessibility
71(1)
Representational Data Quality
71(4)
Strategic Alignment
75(16)
Need for Strategic Alignment Between IT and Business
76(2)
The Strategic Alignment Model
78(2)
Developments in Strategic Alignment Research
80(4)
Alternatives to the Strategic Alignment Model
84(2)
Enablers of Business-IT Alignment
86(3)
Culture
87(1)
Customer Focus
87(1)
Organization
87(1)
Joint Responsibility
88(1)
Rewards
89(1)
Conclusion
89(2)
Strategic Alignment of Data Warehouses
91(24)
Conceptual Model
91(2)
Joint Responsibility between Data Warehouse and Business Managers
93(7)
Alignment between Business Plan and Data Warehouse Plan
100(4)
Business User Satisfaction
104(5)
Technical Integration
109(3)
Flexibility
112(3)
Strategic Alignment at Nielsen Media Research
115(20)
Introduction
115(1)
Overview of the Company
115(2)
Business Objective
116(1)
Background of the Data Warehouse
116(1)
The Data Warehouse Development
117(2)
Project Initiation
117(1)
Data Warehouse Architecture Selection
118(1)
Physical Implementation
118(1)
Strategic Alignment of the Data Warehouse at Nielsen Media Research
119(14)
Joint Responsibility between Business and Data Warehouse Managers
120(1)
Commitment and Involvement of Senior Management
120(1)
Involvement of Data Warehouse Managers in Corporate Strategy
121(1)
Alignment between Business and Data Warehouse Plans
122(1)
Architectural Alignment of the Data Warehouse
122(1)
Knowledge Sharing
123(1)
Integration of Business and Data Warehouse Planning
124(1)
Communication between the Business and Data Warehouse Managers
125(1)
User Participation and Satisfaction, and Data Warehouse Success
126(1)
User Participation
126(1)
Perceived Usefulness
127(1)
Ease of Use
128(1)
Data Quality
128(1)
Technical Integration and Data Warehouse Alignment and Success
129(1)
Value Management
129(1)
Technological Capability
130(1)
Organizational Capability
131(1)
Flexibility in Data Warehouse Planning
131(2)
Conclusion
133(2)
Strategic Alignment at Raymond James Financial
135(22)
Introduction
135(1)
Overview of the Company
135(2)
Company Subsidiaries
136(1)
Business Objectives
136(1)
Corporate Structure
137(1)
Background of the Data Warehouse
137(3)
Data Warehouse Objective
138(1)
Data Warehouse Development
138(1)
Conceptual Model
138(1)
Physical Implementation
139(1)
Project Initiation
139(1)
Current Data Warehouse
139(1)
Strategic Alignment of the Data Warehouse at Raymond James Financial
140(16)
Joint Responsibility Between Business and Data Warehouse Managers
140(1)
Commitment and Involvement of Senior Management in Data Warehouse Project
140(1)
Involvement of Data Warehouse Managers in Corporate Strategy
141(1)
Alignment between Business and Data Warehouse Plans
142(1)
Architectural Alignment of the Data Warehouse
143(1)
Knowledge Sharing
144(1)
Integration of Business and Data Warehouse Planning
145(1)
Communication between the Business and Data Warehouse Managers
146(1)
Business User Participation and Satisfaction, and Data Warehouse Success
147(1)
User Participation
147(1)
Perceived Usefulness
148(1)
Ease of Use
149(1)
Data Quality
150(1)
Technical Integration and Data Warehouse Alignment and Success
151(1)
Value Management
152(1)
Technological Capability
152(1)
Organizational Capability
153(1)
Flexibility in Data Warehouse Planning
154(2)
Conclusion
156(1)
How to Assess Strategic Alignment of a Data Warehouse
157(12)
Design of the Interview Instruments
158(1)
Design of Interview Instruments for Senior Business Managers
158(2)
Questions for Senior Business Managers
159(1)
Questions for Senior Business Managers Regrouped According to Main Questions
159(1)
Design of Interview Instruments for Data Warehouse Managers
160(5)
Questions for Data Warehouse Managers
162(1)
Questions for Data Warehouse Managers Regrouped According to Main Questions
162(3)
Design of Interview Instruments for Business Users
165(4)
Questions for Business Users
165(1)
Questions for Business Users Regrouped According to Main Questions
165(4)
Epilogue
169(8)
Strategy
169(1)
Organizational Culture
170(4)
Service Orientation of Data Warehouses
174(1)
Governance Process
175(2)
References 177(14)
Index 191
Bhansali, Neera