The profit impact of business intelligence:
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Amsterdam [u.a.]
Elsevier/Morgan Kaufmann
2007
|
Schlagworte: | |
Online-Zugang: | Table of contents only Publisher description Inhaltsverzeichnis |
Beschreibung: | Includes bibliographical references (p. 206-207) and index |
Beschreibung: | XVIII, 218 S. 24 cm |
ISBN: | 9780123724991 0123724996 |
Internformat
MARC
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245 | 1 | 0 | |a The profit impact of business intelligence |c Steve Williams, Nancy Williams |
264 | 1 | |a Amsterdam [u.a.] |b Elsevier/Morgan Kaufmann |c 2007 | |
300 | |a XVIII, 218 S. |c 24 cm | ||
336 | |b txt |2 rdacontent | ||
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500 | |a Includes bibliographical references (p. 206-207) and index | ||
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650 | 4 | |a Profit | |
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Datensatz im Suchindex
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adam_text | Contents
Preface xiii
Acknowledgments xvii
Chapter 1 The Business Value of Business
Intelligence 1
1.1 What Is Business Intelligence? 2
1.2 Business Intelligence in Action 3
1.3 The Origins of Business Intelligence 5
1.4 Business Intelligence Today 11
1.5 Using Business Intelligence to Capture Business Value... 12
1.6 How Do We Achieve Strategic Alignment? 16
1.7 The Need for Process Engineering 17
1.8 Process Engineering in Practice 19
1.9 The Need for Change Management 20
1.10 Business Value Analysis of Business Intelligence
Initiatives 21
1.11 Managing for Business Value Delivery 22
1.12 Key Points to Remember 23
1.13 Think Tank 23
1.13.1 Seven Questions to Ask About Your
Organization s Bl Needs 23
1.13.2 Quiz: What Might Bl Mean for Your Company? 24
Chapter 2 Identifying and Prioritizing Business
Intelligence Driven Opportunities for
Your Organization 25
2.1 Business Intelligence Opportunity Analysis Overview ... 26
2.2 Case Study: McCormick Opportunity Analysis 27
2.2.1 Evolution of McCormick s Relevant Industries 28
2.2.2 Summary of Food Industry Drivers and Trends 29
2.2.3 Application of the Business Intelligence
Opportunity Analysis Framework at McCormick ... 29
2.2.4 Business Intelligence Opportunity Analysis
Summary 36
2.3 Business Intelligence Opportunity Analysis: Practical
Considerations 36
2.3.1 Art Versus Science in Business Intelligence
Opportunity Analysis 36
2.3.2 Quality of Business Intelligence Opportunity
Analysis 38
2.3.3 Risk Reward Tradeoffs and the Business
Intelligence Opportunity Map 41
2.3.4 Business Intelligence Opportunity Analysis:
Summary 42
2.4 Key Points to Remember 43
2.5 Think Tank 43
2.5.1 Seven Questions to Ask About Your
Company s Business Intelligence
Opportunities 43
2.5.2 Quiz: How Prepared Are We to Leverage
Business Intelligence? 43
Chapter 3 Business Intelligence Readiness:
Prerequisites for Leveraging Business
Intelligence to Improve Profits 44
3.1 Business Intelligence Readiness Overview 45
3.2 Business Intelligence Readiness, Business Risk, and
Traditional Development Methods 47
3.2.1 Manufacturing Company Example 47
3.2.2 Disability Insurance Company Example 49
3.3 Business Intelligence Readiness Factors 50
3.3.1 Strategic Alignment 50
3.3.2 Continuous Process Improvement Culture 51
3.3.3 Culture Around the Use of Information and
Analytical Applications 52
3.3.4 Business Intelligence Portfolio Management 53
3.3.5 Decision Process Engineering Culture 55
3.3.6 Business Intelligence and Data Warehousing
Technical Readiness 56
3.3.7 Effective Business/Information Technology
Partnership for Business Intelligence 58
3.3.8 Summary: Business Intelligence Readiness
Factors 58
3.4 Case Study: BYTECO Business Intelligence Readiness
Assessment 59
3.4.1 The Business Intelligence Readiness
Assessment 60
3.5 Business Intelligence Readiness: Summary 62
3.6 Key Points to Remember 63
3.7 Think Tank 63
3.7.1 Seven Questions to Ask About Your
Company s Business Intelligence Readiness 63
3.7.2 Quiz: How Prepared Is the Business to
Leverage Business Intelligence? 63
Chapter 4 Business Centric Business Intelligence
Development with the Bl
Pathway Method 65
4.1 The BI Pathway Overview 67
4.1.1 Unique Characteristics of the Bl
Pathway Method 68
4.1.2 Organizational Tailoring of the Bl
Pathway Method 69
Contents
4.2 Part 1: The Architectures Phase of the BI
Pathway Method 72
4.2.1 The Case for Investing in an Architectures
Phase 72
4.2.2 BI Pathway Architectures
Phase Overview: Aligning the Business
Intelligence Program To Deliver Return on
Investment 73
4.2.3 Setting the Architectural Foundation for
Business Intelligence Project Success 77
4.2.4 BI Pathway Architectures
Summary 83
4.3 Part 2: The Implementation Phase of the BI
Pathway Method 83
4.3.1 Logical Data Mart Modeling 86
4.3.2 Technical Development Work 90
4.4 The Operations and Continuous Improvement Phase of
the BI Pathway Method 92
4.5 Chapter Summary 93
4.6 Key Points to Remember 94
4.7 Think Tank 94
4.7.1 Seven Questions to Ask About Your Company
and Business Intelligence 94
4.7.2 Quiz: How Prepared Is Your Company to
Leverage Business Intelligence? 94
Chapter 5 Leading and Managing a Business
Intelligence Driven Profit Improvement
Program 96
5.1 A Leadership Perspective on Business Intelligence
Driven Profit Improvement 9 *
5.1.1 Changing the Culture of Information Usage 97
5.1.2 The Three Stages of Business Intelligence
Driven Cultural Change 98
5.1.3 Steps for Advancing Business Intelligence
Maturity 100
5.1.4 Summary: A Leadership Perspective on
Business Intelligence Driven Profit
Improvement 105
5.2 A General Management Perspective on Business
Intelligence Driven Profit Improvement 105
5.2.1 The Program Plan for Business Intelligence
Driven Profit Improvement 107
5.2.2 Summary: The Program Plan for Business
Intelligence Driven Profit Improvement 113
5.2.3 Business Intelligence Driven Profit
Improvement Is a General Management
Responsibility 114
5.3 Business Intelligence Driven Profit Improvement Is
Crossing the Chasm 115
5.4 Key Points to Remember 115
5.5 Think Tank 116
5.5.1 Seven Questions to Ask About Your Company
and Business Intelligence Driven Profit
Improvement 116
5.5.2 Quiz: Where Does Your Company Stand In
Relation to BI/DW Core Competencies? 116
Chapter 6 Business Intelligence in the Broader
Information Technology Context 117
6.1 Where Business Intelligence Fits in the Information
Technology Portfolio 117
6.2 Information Technology Assets Required for Business
Intelligence 122
6.2.1 The Basic Scope and Configuration of
Information Technology Assets for Business
Intelligence 123
6.2.2 Key Information Technology Products for
Business Intelligence 127
6.2.3 Summary: Information Technology Assets
Required for Business Intelligence 130
6.3 Business Intelligence Environment in the Information
Technology Environment 131
6.3.1 Business Intelligence Development Process 133
6.3.2 Business Intelligence Production and
Support Processes 135
6.3.3 Business Intelligence Human Resources 136
6.3.4 Summary: Business Intelligence Operations
in the Information Technology Operational
Environment 137
6.4 Summary: Business Intelligence in the Broader
Information Technology Context 137
6.5 Key Points to Remember 138
6.6 Think Tank 138
6.6.1 Seven Questions to Ask About How Business
Intelligence Fits in Your Company s
Information Technology Portfolio 138
6.6.2 Quiz: Where Does Business Intelligence Stand
in Your Company s Information Technology
Environment? 138
Chapter 7 Important Ways Business Intelligence
Can Drive Profit Improvement 140
*. 1 The Impact of Industry, Competitors, and Company
Business Design on Business Intelligence
Opportunities 141
7.2 A General Overview of Business Intelligence
Opportunities 145
7.3 Business Intelligence for Management Processes 148
7.3.1 Common Ways Business Intelligence Is Used to
Improve Management Processes 150
Contents
7.3.2 Business Intelligence and Balanced
Scorecards: Enabling Strategic Management 152
7.3.3 Business Intelligence and Management
Accounting: Improving Operational and
Financial Performance 154
7.3.4 Summary: Business Intelligence for
Management Processes 158
7.4 Business Intelligence for Revenue Generating
Processes 159
7.4.1 Summary: Business Intelligence for
Revenue Generating Processes 163
7.5 Business Intelligence for Operating Processes 163
7.5.1 Common Ways Business Intelligence Is Used
to Improve Operating Processes 164
7.5.2 Summary: Business Intelligence for
Operating Processes 167
7.6 Summary: Important Ways Business Intelligence Can
Drive Profit Improvement 167
7.7 Key Points to Remember 168
7.8 Think Tank 168
7.8.1 Seven Questions to Ask About How
Business Intelligence Can Improve Profit in
Your Company 168
7.8.2 Quiz: How Does Business Intelligence
Improve Profits? 168
Chapter 8 Common Mistakes Companies Make
on Business Intelligence Initiatives 170
8.1 Critical Success Factor: Establishing the Value
Proposition 1 1
8.1.1 Mistake #1: No Explicit Alignment Between
Business Intelligence Strategy
and Business Strategy 172
8.1.2 Mistake #2: Not Knowing How to Define
Information Requirements 172
8.1.3 Mistake #3: Not Marketing the Vision to Obtain
Organizational Support 173
8.2 Critical Success Factor: Establishing and Managing a
Business Intelligence Program 1 ~4
8.2.1 Mistake #4: Using Ad Hoc Practices to Select
and Fund Business Intelligence Projects 175
8.2.2 Mistake #5: Providing Inadequate
Governance for the Business Intelligence
Program Management 175
8.2.3 Mistake #6: Establishing De Facto
Program Governance Based on the Initial
Business Intelligence Project 176
8.2.4 Mistake #7: Not Strategically Positioning the
Business Intelligence in the Business
Organization 176
8.2.5 Mistake #8: Not Providing Adequate
Resources and Funding for Supporting
Efforts Needed for a Successful Business
Intelligence Initiative 176
8.3 Critical Success Factor: Optimizing Information
Technology Infrastructure for Business Intelligence 177
8.3.1 Mistake #9: Using a Technical Infrastructure
That Does Not Adequately Support
Business Intelligence 177
8.3.2 Mistake #10: Using Operational System
Information Technology Design and
Development Approaches 178
8.3.3 Mistake #11: Using Information Technology
Standards and Policies Designed for
Operational Systems 178
8.4 Critical Success Factor: Managing Organizational
Change Needed to Capture Value 179
8.4.1 Mistake #12: Not Utilizing Business Process
Reengineering Approaches to Optimize the Use
of New Business Intelligence Capabilities 179
8.4.2 Mistake #13: Unwillingness to Make the
Organizational Changes Needed to Obtain
Data Needed to Deliver Business Intelligence 180
8.4.3 Mistake #14: Not Creating Organizational
Incentives 180
8.4.4 Mistake #15: Not Exploiting the Full Potential
of Information 181
8.5 Key Points to Remember 181
8.6 Think Tank 181
8.6.1 Seven Questions to Ask About Business
Intelligence Mistakes 181
8.6.2 Quiz: Do You Know How to Avoid the Worst
Business Intelligence Mistakes? 182
Chapter 9 A View over the Horizon 183
9.1 Business Intelligence Moves into the Mainstream 185
9.2 Decision Process Engineering: Equipping Knowledge
Workers with Information and Instituting Standards
and Accountability 185
9.3 Re engineering Knowledge Work: Releasing
the Power of Business Intelligence 191
9.3.1 Creating a Vision of How Knowledge Work That
Impacts Profits Should Be Performed 191
9.3.2 Making Specific Decisions About Management
and Analytical Frameworks for Core Business
Processes That Impact Profits 192
9.3.3 Determining What Business Information Is
Needed to Apply the Selected Frameworks 192
9.3.4 Determining How Key Decisions Should Be
Made and by Whom 193
Contents
9.3.5 Infusing Accountability and Process Metrics
into Business Processes and Decision
Processes 193
9.3.6 Investing in Business Intelligence and
Business Process Management Competencies,
Methods, and Tools 193
9.3.7 Managing the Changes Required to Redirect
Knowledge Work from an Artisan Model to a
Systems Model 194
9.4 Closing The Loop: Optimizing and Integrating
Strategic, Tactical, and Operational Business
Performance 195
9.5 Barriers to Realizing the Benefits of Business
Intelligence 195
9.5.1 Noise and Confusion in the Business
Tools Environment 196
9.5.2 Skepticism About Information Technology
Value Propositions 196
9.5.3 Executive and Management Challenges
Relative to Information Technology 196
9.5.4 Competition for Business and Information
Technology Resources 197
9.5.5 Risk Aversion 197
9.6 Summary 198
9.7 Key Points to Remember 198
9.8 Think Tank 199
9.8.1 Seven Questions to Ask About Your Own
View Ahead 199
9.8.2 Quiz: How Will You Make the Most of
Business Intelligence in the Future? 199
Appendix A: A Business Intelligence Glossary 200
Appendix B: A Business Intelligence Readiness Assessment . . . . 202
Bibliography 206
Index 209
About the Authors 2P
|
adam_txt |
Contents
Preface xiii
Acknowledgments xvii
Chapter 1 The Business Value of Business
Intelligence 1
1.1 What Is Business Intelligence? 2
1.2 Business Intelligence in Action 3
1.3 The Origins of Business Intelligence 5
1.4 Business Intelligence Today 11
1.5 Using Business Intelligence to Capture Business Value. 12
1.6 How Do We Achieve Strategic Alignment? 16
1.7 The Need for Process Engineering 17
1.8 Process Engineering in Practice 19
1.9 The Need for Change Management 20
1.10 Business Value Analysis of Business Intelligence
Initiatives 21
1.11 Managing for Business Value Delivery 22
1.12 Key Points to Remember 23
1.13 Think Tank 23
1.13.1 Seven Questions to Ask About Your
Organization's Bl Needs 23
1.13.2 Quiz: What Might Bl Mean for Your Company? 24
Chapter 2 Identifying and Prioritizing Business
Intelligence Driven Opportunities for
Your Organization 25
2.1 Business Intelligence Opportunity Analysis Overview . 26
2.2 Case Study: McCormick Opportunity Analysis 27
2.2.1 Evolution of McCormick's Relevant Industries 28
2.2.2 Summary of Food Industry Drivers and Trends 29
2.2.3 Application of the Business Intelligence
Opportunity Analysis Framework at McCormick . 29
2.2.4 Business Intelligence Opportunity Analysis
Summary 36
2.3 Business Intelligence Opportunity Analysis: Practical
Considerations 36
2.3.1 Art Versus Science in Business Intelligence
Opportunity Analysis 36
2.3.2 Quality of Business Intelligence Opportunity
Analysis 38
2.3.3 Risk Reward Tradeoffs and the Business
Intelligence Opportunity Map 41
2.3.4 Business Intelligence Opportunity Analysis:
Summary 42
2.4 Key Points to Remember 43
2.5 Think Tank 43
2.5.1 Seven Questions to Ask About Your
Company's Business Intelligence
Opportunities 43
2.5.2 Quiz: How Prepared Are We to Leverage
Business Intelligence? 43
Chapter 3 Business Intelligence Readiness:
Prerequisites for Leveraging Business
Intelligence to Improve Profits 44
3.1 Business Intelligence Readiness Overview 45
3.2 Business Intelligence Readiness, Business Risk, and
Traditional Development Methods 47
3.2.1 Manufacturing Company Example 47
3.2.2 Disability Insurance Company Example 49
3.3 Business Intelligence Readiness Factors 50
3.3.1 Strategic Alignment 50
3.3.2 Continuous Process Improvement Culture 51
3.3.3 Culture Around the Use of Information and
Analytical Applications 52
3.3.4 Business Intelligence Portfolio Management 53
3.3.5 Decision Process Engineering Culture 55
3.3.6 Business Intelligence and Data Warehousing
Technical Readiness 56
3.3.7 Effective Business/Information Technology
Partnership for Business Intelligence 58
3.3.8 Summary: Business Intelligence Readiness
Factors 58
3.4 Case Study: BYTECO Business Intelligence Readiness
Assessment 59
3.4.1 The Business Intelligence Readiness
Assessment 60
3.5 Business Intelligence Readiness: Summary 62
3.6 Key Points to Remember 63
3.7 Think Tank 63
3.7.1 Seven Questions to Ask About Your
Company's Business Intelligence Readiness 63
3.7.2 Quiz: How Prepared Is the Business to
Leverage Business Intelligence? 63
Chapter 4 Business Centric Business Intelligence
Development with the Bl
Pathway Method 65
4.1 The BI Pathway Overview 67
4.1.1 Unique Characteristics of the Bl
Pathway Method 68
4.1.2 Organizational Tailoring of the Bl
Pathway Method 69
Contents
4.2 Part 1: The Architectures Phase of the BI
Pathway Method 72
4.2.1 The Case for Investing in an Architectures
Phase 72
4.2.2 BI Pathway Architectures
Phase Overview: Aligning the Business
Intelligence Program To Deliver Return on
Investment 73
4.2.3 Setting the Architectural Foundation for
Business Intelligence Project Success 77
4.2.4 BI Pathway Architectures
Summary 83
4.3 Part 2: The Implementation Phase of the BI
Pathway Method 83
4.3.1 Logical Data Mart Modeling 86
4.3.2 Technical Development Work 90
4.4 The Operations and Continuous Improvement Phase of
the BI Pathway Method 92
4.5 Chapter Summary 93
4.6 Key Points to Remember 94
4.7 Think Tank 94
4.7.1 Seven Questions to Ask About Your Company
and Business Intelligence 94
4.7.2 Quiz: How Prepared Is Your Company to
Leverage Business Intelligence? 94
Chapter 5 Leading and Managing a Business
Intelligence Driven Profit Improvement
Program 96
5.1 A Leadership Perspective on Business Intelligence
Driven Profit Improvement 9"*
5.1.1 Changing the Culture of Information Usage 97
5.1.2 The Three Stages of Business Intelligence
Driven Cultural Change 98
5.1.3 Steps for Advancing Business Intelligence
Maturity 100
5.1.4 Summary: A Leadership Perspective on
Business Intelligence Driven Profit
Improvement 105
5.2 A General Management Perspective on Business
Intelligence Driven Profit Improvement 105
5.2.1 The Program Plan for Business Intelligence
Driven Profit Improvement 107
5.2.2 Summary: The Program Plan for Business
Intelligence Driven Profit Improvement 113
5.2.3 Business Intelligence Driven Profit
Improvement Is a General Management
Responsibility 114
5.3 Business Intelligence Driven Profit Improvement Is
Crossing the Chasm 115
5.4 Key Points to Remember 115
5.5 Think Tank 116
5.5.1 Seven Questions to Ask About Your Company
and Business Intelligence Driven Profit
Improvement 116
5.5.2 Quiz: Where Does Your Company Stand In
Relation to BI/DW Core Competencies? 116
Chapter 6 Business Intelligence in the Broader
Information Technology Context 117
6.1 Where Business Intelligence Fits in the Information
Technology Portfolio 117
6.2 Information Technology Assets Required for Business
Intelligence 122
6.2.1 The Basic Scope and Configuration of
Information Technology Assets for Business
Intelligence 123
6.2.2 Key Information Technology Products for
Business Intelligence 127
6.2.3 Summary: Information Technology Assets
Required for Business Intelligence 130
6.3 Business Intelligence Environment in the Information
Technology Environment 131
6.3.1 Business Intelligence Development Process 133
6.3.2 Business Intelligence Production and
Support Processes 135
6.3.3 Business Intelligence Human Resources 136
6.3.4 Summary: Business Intelligence Operations
in the Information Technology Operational
Environment 137
6.4 Summary: Business Intelligence in the Broader
Information Technology Context 137
6.5 Key Points to Remember 138
6.6 Think Tank 138
6.6.1 Seven Questions to Ask About How Business
Intelligence Fits in Your Company's
Information Technology Portfolio 138
6.6.2 Quiz: Where Does Business Intelligence Stand
in Your Company's Information Technology
Environment? 138
Chapter 7 Important Ways Business Intelligence
Can Drive Profit Improvement 140
"*. 1 The Impact of Industry, Competitors, and Company
Business Design on Business Intelligence
Opportunities 141
7.2 A General Overview of Business Intelligence
Opportunities 145
7.3 Business Intelligence for Management Processes 148
7.3.1 Common Ways Business Intelligence Is Used to
Improve Management Processes 150
Contents
7.3.2 Business Intelligence and Balanced
Scorecards: Enabling Strategic Management 152
7.3.3 Business Intelligence and Management
Accounting: Improving Operational and
Financial Performance 154
7.3.4 Summary: Business Intelligence for
Management Processes 158
7.4 Business Intelligence for Revenue Generating
Processes 159
7.4.1 Summary: Business Intelligence for
Revenue Generating Processes 163
7.5 Business Intelligence for Operating Processes 163
7.5.1 Common Ways Business Intelligence Is Used
to Improve Operating Processes 164
7.5.2 Summary: Business Intelligence for
Operating Processes 167
7.6 Summary: Important Ways Business Intelligence Can
Drive Profit Improvement 167
7.7 Key Points to Remember 168
7.8 Think Tank 168
7.8.1 Seven Questions to Ask About How
Business Intelligence Can Improve Profit in
Your Company 168
7.8.2 Quiz: How Does Business Intelligence
Improve Profits? 168
Chapter 8 Common Mistakes Companies Make
on Business Intelligence Initiatives 170
8.1 Critical Success Factor: Establishing the Value
Proposition 1"1
8.1.1 Mistake #1: No Explicit Alignment Between
Business Intelligence Strategy
and Business Strategy 172
8.1.2 Mistake #2: Not Knowing How to Define
Information Requirements 172
8.1.3 Mistake #3: Not Marketing the Vision to Obtain
Organizational Support 173
8.2 Critical Success Factor: Establishing and Managing a
Business Intelligence Program 1 ~4
8.2.1 Mistake #4: Using Ad Hoc Practices to Select
and Fund Business Intelligence Projects 175
8.2.2 Mistake #5: Providing Inadequate
Governance for the Business Intelligence
Program Management 175
8.2.3 Mistake #6: Establishing De Facto
Program Governance Based on the Initial
Business Intelligence Project 176
8.2.4 Mistake #7: Not Strategically Positioning the
Business Intelligence in the Business
Organization 176
8.2.5 Mistake #8: Not Providing Adequate
Resources and Funding for Supporting
Efforts Needed for a Successful Business
Intelligence Initiative 176
8.3 Critical Success Factor: Optimizing Information
Technology Infrastructure for Business Intelligence 177
8.3.1 Mistake #9: Using a Technical Infrastructure
That Does Not Adequately Support
Business Intelligence 177
8.3.2 Mistake #10: Using Operational System
Information Technology Design and
Development Approaches 178
8.3.3 Mistake #11: Using Information Technology
Standards and Policies Designed for
Operational Systems 178
8.4 Critical Success Factor: Managing Organizational
Change Needed to Capture Value 179
8.4.1 Mistake #12: Not Utilizing Business Process
Reengineering Approaches to Optimize the Use
of New Business Intelligence Capabilities 179
8.4.2 Mistake #13: Unwillingness to Make the
Organizational Changes Needed to Obtain
Data Needed to Deliver Business Intelligence 180
8.4.3 Mistake #14: Not Creating Organizational
Incentives 180
8.4.4 Mistake #15: Not Exploiting the Full Potential
of Information 181
8.5 Key Points to Remember 181
8.6 Think Tank 181
8.6.1 Seven Questions to Ask About Business
Intelligence Mistakes 181
8.6.2 Quiz: Do You Know How to Avoid the Worst
Business Intelligence Mistakes? 182
Chapter 9 A View over the Horizon 183
9.1 Business Intelligence Moves into the Mainstream 185
9.2 Decision Process Engineering: Equipping Knowledge
Workers with Information and Instituting Standards
and Accountability 185
9.3 Re engineering Knowledge Work: Releasing
the Power of Business Intelligence 191
9.3.1 Creating a Vision of How Knowledge Work That
Impacts Profits Should Be Performed 191
9.3.2 Making Specific Decisions About Management
and Analytical Frameworks for Core Business
Processes That Impact Profits 192
9.3.3 Determining What Business Information Is
Needed to Apply the Selected Frameworks 192
9.3.4 Determining How Key Decisions Should Be
Made and by Whom 193
Contents
9.3.5 Infusing Accountability and Process Metrics
into Business Processes and Decision
Processes 193
9.3.6 Investing in Business Intelligence and
Business Process Management Competencies,
Methods, and Tools 193
9.3.7 Managing the Changes Required to Redirect
Knowledge Work from an Artisan Model to a
Systems Model 194
9.4 Closing The Loop: Optimizing and Integrating
Strategic, Tactical, and Operational Business
Performance 195
9.5 Barriers to Realizing the Benefits of Business
Intelligence 195
9.5.1 Noise and Confusion in the Business
Tools Environment 196
9.5.2 Skepticism About Information Technology
Value Propositions 196
9.5.3 Executive and Management Challenges
Relative to Information Technology 196
9.5.4 Competition for Business and Information
Technology Resources 197
9.5.5 Risk Aversion 197
9.6 Summary 198
9.7 Key Points to Remember 198
9.8 Think Tank 199
9.8.1 Seven Questions to Ask About Your Own
View Ahead 199
9.8.2 Quiz: How Will You Make the Most of
Business Intelligence in the Future? 199
Appendix A: A Business Intelligence Glossary 200
Appendix B: A Business Intelligence Readiness Assessment . . . . 202
Bibliography 206
Index 209
About the Authors 2P |
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author | Williams, Steve Williams, Nancy |
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id | DE-604.BV022538659 |
illustrated | Not Illustrated |
index_date | 2024-07-02T18:09:25Z |
indexdate | 2024-07-09T20:59:47Z |
institution | BVB |
isbn | 9780123724991 0123724996 |
language | English |
lccn | 2006025719 |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015745146 |
oclc_num | 71044205 |
open_access_boolean | |
owner | DE-473 DE-BY-UBG |
owner_facet | DE-473 DE-BY-UBG |
physical | XVIII, 218 S. 24 cm |
publishDate | 2007 |
publishDateSearch | 2007 |
publishDateSort | 2007 |
publisher | Elsevier/Morgan Kaufmann |
record_format | marc |
spelling | Williams, Steve Verfasser aut The profit impact of business intelligence Steve Williams, Nancy Williams Amsterdam [u.a.] Elsevier/Morgan Kaufmann 2007 XVIII, 218 S. 24 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references (p. 206-207) and index Business intelligence Profit Business Intelligence (DE-588)4588307-5 gnd rswk-swf Business Intelligence (DE-588)4588307-5 s DE-604 Williams, Nancy Verfasser (DE-588)141174838 aut http://www.loc.gov/catdir/toc/ecip0619/2006025719.html Table of contents only http://www.loc.gov/catdir/enhancements/fy0665/2006025719-d.html Publisher description HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015745146&sequence=000006&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Williams, Steve Williams, Nancy The profit impact of business intelligence Business intelligence Profit Business Intelligence (DE-588)4588307-5 gnd |
subject_GND | (DE-588)4588307-5 |
title | The profit impact of business intelligence |
title_auth | The profit impact of business intelligence |
title_exact_search | The profit impact of business intelligence |
title_exact_search_txtP | The profit impact of business intelligence |
title_full | The profit impact of business intelligence Steve Williams, Nancy Williams |
title_fullStr | The profit impact of business intelligence Steve Williams, Nancy Williams |
title_full_unstemmed | The profit impact of business intelligence Steve Williams, Nancy Williams |
title_short | The profit impact of business intelligence |
title_sort | the profit impact of business intelligence |
topic | Business intelligence Profit Business Intelligence (DE-588)4588307-5 gnd |
topic_facet | Business intelligence Profit Business Intelligence |
url | http://www.loc.gov/catdir/toc/ecip0619/2006025719.html http://www.loc.gov/catdir/enhancements/fy0665/2006025719-d.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015745146&sequence=000006&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT williamssteve theprofitimpactofbusinessintelligence AT williamsnancy theprofitimpactofbusinessintelligence |