Table Of ContentCover Page: i
Title Page Page: i
Copyright Page Page: ii
Table of Contents Page: iii
Preface Page: xix
Acknowledgments Page: xxiii
Chapter 1 Introduction Page: xxiii
Why This Book? Page: 1
ICT Has Grown Up Page: 1
A Practical Approach Page: 2
Hands-On Issues, Questions, and Methods Page: 2
Figures Don’t Explain Everything Page: 3
What I Mean by “Business Intelligence” Page: 4
From Decision Support to Information Democracy Page: 4
A Definition Page: 5
Scope of This Book Page: 6
What Does a BA4BI Do? Page: 7
Defining the Concept “Business Analyst for Business Intelligence” Page: 7
“How” Career Path Page: 9
“Where” Career Path Page: 10
“C-Level” Career Path Page: 11
Structure of This Book Page: 11
Principal Aspects Page: 14
Strategy Formulation and Formation Page: 14
Strategy Implementation Page: 14
Developing a Marketing Strategy Page: 14
Financial Perspective Page: 15
Operations Strategy Page: 15
HRM and BI Page: 15
Business Intelligence Framework Page: 16
Introducing a BI Project Page: 16
Typical Business Analysis Project Flow Page: 16
Business Intelligence Processes Page: 18
Tips, Tricks, and a Toolbox Page: 21
BI System Page: 21
Chapters of This Book Page: 21
Macroscopic View of Business Intelligence Page: 22
Increasing Cycle Speed of Growth and Its Laws Page: 22
Balancing the 5 Ps of Strategic Management Page: 23
Adapting BI to the Organization’s Configuration Page: 23
Understanding the 4 Cs Page: 23
Business Case for Business Intelligence Page: 24
Business Analysis and Management Areas Page: 24
BI and Cost Accounting Page: 24
BI and Financial Management Page: 24
BI and Operations Management Page: 24
BI and Marketing Management Page: 24
BI and Human Resources Management Page: 25
Business Analysis and the Project Life Cycle Page: 25
Starting a BI Project Page: 25
Managing the Project Life Cycle Page: 25
Mastering Data Management Page: 25
Mastering Data Quality Page: 25
Business Analyst’s Toolbox Page: 26
Project Direction Document Template Page: 26
Interview Summary Template Page: 26
Business Case Document Template Page: 26
Business Analysis Deliverables Template Page: 26
Project Charter Document Template Page: 27
Best Practice Sharing Template Page: 27
Generic Interview Guide Page: 27
Generic Business Object Definitions Page: 27
Appendices Overview Page: 28
Appendix A: What to Ask on Your Job Interview Page: 28
Appendix B: Business Intelligence from 1960 to Today Page: 28
Appendix C: The 101 on Data Warehousing Page: 28
Appendix D: Survey for a BI Project Page: 28
Chapter 2 The Increasing Cycle Speed of Growth and Its Laws Page: 28
Introduction Page: 29
Growth Has a Price Page: 29
Useful Lifespan of the PLC Page: 29
Three Deltas Page: 30
Time, the Essential Strategic Factor Page: 30
Business Analysis Issues Page: 32
First Law: The Triangle of Knowledge, Growth, and Strategy Processes Page: 32
The Knowledge Exchange Process Page: 35
Reciprocity Page: 36
Long-Term Perspectives Page: 36
Fewer Hierarchies Page: 36
Measuring Reciprocity Page: 36
Organizational Drivers Page: 37
Personnel Drivers Page: 37
Business Analysis Issues Page: 38
Second Law: Your Narrow Choice between Two Options Page: 38
Focus Page: 39
Conquest Page: 40
Retreat Page: 40
Redeploy Page: 41
Strategy Continuum Page: 42
Business Analysis Issues Page: 43
Third Law: Any Organization Optimizes Two Extremes Page: 44
Value Chain Revisited Page: 45
Business Analysis Issues Page: 47
What Defines Overall Cost Leadership? Page: 47
What Defines Differentiation? Page: 47
Fourth Law: Measure Only What You Can Measure But Page: 49
Experiment Page: 50
Results Page: 50
Conclusion Page: 51
Business Analysis Issues Page: 51
A Few Tips Page: 52
Fifth Law: There Is Always a Dominant Source Page: 52
The Strategic Apex Page: 52
Exploring Alternatives and Options Page: 53
Functional Management Page: 53
Marketing versus Finance Page: 54
Finance versus Operations Page: 54
Operations versus Marketing Page: 54
Operational Layer Page: 55
Bottom-Up Strategy Formation Page: 55
Cybernetic Feedback Loops Page: 56
Sixth Law: IT Is Here to Stay Page: 58
IT Can Create Competitive Advantages Page: 59
Alignment Movement Page: 60
Business Analysis Issues Page: 61
Chapter 3 Balancing the 5 Ps of Strategic Management Page: 62
Introduction Page: 63
The 5 Ps and Their Interaction Page: 64
Managing Strategy Page: 65
Three Strategy Management Styles Page: 66
The Linear Style Page: 66
The Judgmental Style Page: 66
The Bargaining Style Page: 67
Conclusion Page: 68
Strategy Management Styles and Plan–Pattern–Ploys Page: 69
Choosing the Center of Gravity Page: 71
Chapter 4 Adapting BI to the Organization’s Configuration Page: 71
Introduction Page: 73
Mintzberg’s Configurations Page: 73
Mintzberg’s Lessons for Business Intelligence Page: 74
Business Analysis Issues Page: 76
Chapter 5 Understanding the 4 Cs Page: 77
Introduction Page: 79
Applying the 4 C Perspective on Functions Page: 80
4 Cs: The Foundation of a Balanced Scorecard Page: 81
Business Analysis Issues Page: 83
Chapter 6 Business Case for Business Intelligence Page: 84
Introduction Page: 85
Basics of Information Economics Page: 86
Illustrating IE with a Business Case Page: 87
From a Process to a Marketing Culture Page: 88
First Conclusion: Save on Reporting Operations Page: 88
Second Conclusion: Churn Reduction through Better Customer Analysis Page: 88
Third Conclusion: Better Prospect Qualification Page: 90
Generic Advantages of Business Intelligence Page: 93
Improved Communication Effectiveness Page: 93
Improved Data Quality Page: 94
Common Engineering Models Page: 94
Product Data Models Page: 95
Customer Data Models Page: 95
Better Understanding of Available Data Page: 96
Smarter Extraction and Exchange of Data Page: 96
Better Understanding of the Business Processes Page: 96
Chapter 7 BI and Cost Accounting Page: 98
Setting up an ABC System Using BI Page: 99
Assemble All Sources of Cost Registration Page: 99
Validate the Consistency Page: 100
Assign the Sources in a Meaningful Way Page: 100
Eight Steps for Cost Assignment Page: 101
Consider the Alternatives during the Cost Assignment Process Page: 102
Express Assumptions Page: 103
Communicate the Results and Validate Them in the Field Page: 103
Pros and Cons of Activity-Based Costing Page: 103
Pros Page: 104
Cons Page: 104
Closer Look at ABC Source Systems Page: 105
Accounting System Page: 105
Enterprise Resource Planning (ERP) System Page: 105
Product Data Management Systems Page: 105
Budgeting Systems Page: 107
Time Registration and Access Systems Page: 107
Payroll Systems Page: 107
Warehouse Management Systems Page: 108
Inventory Management Systems Page: 108
Document Management Systems Page: 108
Setting up ABC Analysis in the Data Warehouse Page: 108
Conclusion Page: 110
Chapter 8 BI and Financial Management Page: 110
The 101 on Financial BI Deliverables Page: 111
Keep Your SOX On! Page: 112
Data Lineage Page: 113
Mutual Adjustment Page: 114
Understanding the Business Process Flows Page: 114
Business Analysis for Financial Reporting Page: 115
Chart of Accounts Page: 115
Required Reports Page: 116
Certified Reports Page: 117
Analytical and Explorative Reports Page: 117
Finance Reports Connected to Other Subject Areas Page: 117
Special Attention for Slowly Changing Dimensions Page: 121
Special Attention for Presentation Options Page: 122
Business Analysis Issues Page: 123
Chapter 9 BI and Operations Management Page: 123
The 101 on Operations Management Page: 125
Customer Order Point (COP) Page: 125
Forecasting Page: 127
Optimization of the Supply Chain Page: 128
Business FAQs Page: 128
Quality Management Page: 129
Setting up Outsourcing Analysis Page: 129
Production Management and Information Architecture Page: 130
MRP II Software Page: 130
Capacity Management Software Page: 132
Network Planning Software Page: 132
A Basic Concept of IS for Production Management Page: 133
What to Measure Page: 134
First Example: Physical Goods Transport Page: 134
Second Example: Inventory Management Systems Page: 137
s,Q or the Two-Bin System Page: 137
s,S Page: 137
R,S Page: 138
R,s,S Page: 138
Basic Supply Chain Report Requirements Page: 138
Introduction Page: 138
Total Cycle and Optimum Variable Cost Page: 139
Rotation of Supplies Page: 139
Rotation of Production Page: 139
Rotation of Customers Page: 139
Rotation of Purchases and Subcontractors Page: 140
Total Cycle = RotationS + RotationPR + RotationC – RotationP Optimum Total Variable Costs Page: 140
EOQ with Partial Deliveries Page: 140
Product Analysis Page: 141
Supplier Analysis Page: 141
Setting up a Forecasting System Using BI Page: 142
General Recommendations Page: 143
Forecasting Can Have a Thorough Impact Page: 143
Forecasting Is a Total Process Page: 144
Defining the KPIs for a Forecasting System Page: 144
Cost Justification for Forecasting Page: 145
Step 1: Collect the Data Page: 146
Step 2: Decide on the Grain Page: 147
Step 3: Integrate the Data Page: 147
Step 4: Select the Data Page: 147
Step 5: Prepare the Data Page: 147
Step 6: Choose and Develop the Model Page: 147
Step 7: Validate the Model Page: 148
Step 8: Evaluate the Model in Detail Page: 148
Step 9.1: Evaluate the Results: Improved Delivery Performance Page: 148
Step 9.2: Evaluate the Results: Reduction in Inventory Carrying Costs Page: 149
Step 9.3: Do a Complete Cost of Ownership Analysis Page: 150
Step 9.4: Calculate the ROI Page: 150
Business Analysis Issues Page: 150
General Remarks Page: 151
Questions and Issues to Be Addressed Page: 151
Chapter 10 BI and Marketing Management Page: 152
Introduction Page: 153
What Do We Mean by “CRM”? Page: 153
What Do We Mean by Behavior Analysis? Page: 154
Can We Learn from Past Failures? Page: 155
When Operations Leads the Dance Page: 156
When Finance Leads the Dance Page: 156
When Overly Complex Sales Models Are the Rule Page: 156
When BI Is Used for the Wrong Reasons Page: 158
How BI Can Contribute to Marketing Management Page: 159
Market Research Page: 159
Affinity Analysis Page: 160
Direct Product Profitability (DPP) Page: 161
Product Development Page: 162
Sales Page: 164
Sales Promotion Page: 164
Customer Service Page: 165
Channel Management Page: 165
Retail Marketing Page: 165
Industrial Marketing Page: 166
Professional Services Marketing Page: 166
Fast-Moving Consumer Goods Marketing Page: 167
Consumer Investment Goods Marketing Page: 168
Pharmaceutical Marketing Page: 168
OTC Products Marketing Page: 168
Ethical Drugs Marketing Page: 169
Business Analysis Issues Page: 169
Check the CRM Data Page: 169
Check the Behavioral Analysis Status Page: 169
Market Research Page: 170
Affinity Analysis Page: 170
Direct Product Profitability Page: 170
Product Development Page: 170
Sales Page: 170
Sales Promotion Page: 170
Customer Service Page: 171
Channel Management Page: 171
Retail Marketing Page: 172
Industrial Marketing Page: 172
Professional Services Marketing Page: 172
Fast-Moving Consumer Goods Marketing Page: 173
Consumer Investment Goods Marketing Page: 173
Pharmaceutical Marketing Page: 174
Chapter 11 BI and Human Resources Management Page: 174
The War for Talent and How to Lose It Page: 175
Disconnect Strategy Planning Process—Competence Management Page: 176
A Lack of ERM Strategies Page: 177
Kurieren am Symptom Page: 177
Managing Absenteeism Page: 178
Introduction Page: 178
Absenteeism Measures Page: 179
How BI Can Lend a Hand Page: 179
Business Analysis Issues Page: 183
Security Page: 183
“Hard” KPIs Page: 183
“Soft” KPIs Page: 184
Questions for the HRM Department Page: 184
Chapter 12 Starting a BI Project Page: 185
Overview Page: 187
An Iterative Process Page: 187
Mapping the Process Stages on the Business Analysis Issues Page: 188
Creating the Need Page: 190
Expectations: In Search of the Business Value Page: 191
Funding the Business Intelligence Project Page: 193
Probing for the Motivation Page: 195
Focus on the Expectations through the Entire Project Page: 195
Formal Things Customers Want Page: 196
Informal Things Customers Want Page: 197
Handle Queues Page: 198
Close Loops Page: 198
Gathering the Information Page: 199
Study the Terrain Page: 199
Who You Need to Know Page: 200
What You Need to Know Page: 200
Analyzing the Decision-Making Processes Page: 201
Introduction Page: 201
Decisions, Teams, and Groups at Work Page: 202
A Classification of Decision-Making Environments Page: 203
Process View Page: 203
What Drives the Decision-Making Process Page: 204
Heuristics Page: 205
Stereotyping, the Dark Force Page: 206
Group Decision Making Page: 208
Organizational Change Page: 212
Make the Trade Profitable Page: 213
Make Them Dream Page: 213
Use Positive Feedback Page: 214
Phase Out the Old Systems, Fast Page: 214
Form a Coalition of the Willing Page: 214
Adapt to the Organization’s Risk Profile Page: 214
Prepare for Setbacks Page: 215
Mintzberg’s Management Myths Page: 215
What Do We Learn from This for Our BI Projects? Page: 216
Conclusion Page: 217
Business Analysis Issues Page: 217
Producing the Documents Page: 218
Project Direction Document Page: 218
Interview Summaries Page: 219
Business Requirements Page: 219
Business Case Page: 219
Project Charter Page: 220
Validating the Results Page: 220
“I Wanted Performance!” Page: 220
“Why Do I Need the Full Client?” Page: 221
“Now That I See the Results…” Page: 221
Check the Business Case Page: 221
Support and Maintenance Page: 221
Validation Page: 222
Vision Support Page: 222
Chapter 13 Managing the Project Life Cycle Page: 222
Business Analysis and Project Planning Page: 223
Business Requirements Gathering Page: 225
Interview the CEO Page: 225
What Are Your Objectives? Page: 225
Survey the User Group Page: 227
What Are Your Objectives? Page: 227
Interviews and Workshops Page: 227
What Are Your Objectives? Page: 228
Requirements Challenging Page: 229
How to Challenge the Requirements Page: 229
Testing the Robustness of the Requirements Page: 232
Making It Stick Page: 233
Solid Building Blocks Page: 233
Auxiliary Analysis Areas Page: 234
Dimensional Modeling Page: 234
Data Warehousing 2.0 from Bill Inmon Page: 235
Conformed Dimensions of Ralph Kimball Page: 236
Hubs, Links, and Satellites of Dan Linstedt Page: 237
Mixed Design Choices Page: 239
Conclusions Page: 239
BI Application Specification Page: 241
Business Analysis and Growth—Maintenance Page: 245
Source Changes Page: 245
Dwindling User Support Page: 246
Sharing Project Knowledge Page: 247
Knowledge Objects Page: 247
Interview Page: 248
Publication Platform Page: 248
Preparing a BI Competence Center Page: 249
Assess Readiness Page: 250
Build the Team Page: 251
Business Analysis Issues Page: 252
Conclusion Page: 253
Chapter 14 Mastering Data Management Page: 254
Major Components of Data Management Page: 255
Overview Page: 256
Master Data Page: 256
Source Analysis Page: 258
Data Profiling Page: 258
Source-to-Target Mapping Page: 259
Metadata Management for Business Analysts Page: 260
Before the Project Page: 260
During the Project Page: 262
After the Project Page: 262
Framework for Data Management Page: 262
Dublin Core Page: 262
Zachman Framework Page: 264
Structured Writing Page: 266
Structured Writing and Data Management Page: 266
How the Three Components Interact Page: 267
Chapter 15 Mastering Data Quality Page: 269
Which Quality? Page: 271
ROI Approach to Data Quality Page: 272
Data Quality for Source Systems Page: 273
Marketing Aspects Page: 273
Finance Aspects Page: 274
Operational Aspects Page: 275
Data Quality for Data Warehouse Systems Page: 275
Customer Segmentation Page: 275
Customer Credit Analysis Page: 275
Fraud Prevention and Detection Page: 276
Building the Business Case Page: 276
Data Quality Checklist Page: 279
History Review of the Data Sources Page: 280
Present Situation Review Page: 280
Future Outlook Page: 281
Chapter 16 Business Analyst’s Toolbox Page: 281
Overview Page: 283
Project Direction Document Template Page: 283
Introduction Page: 284
Document’s Contents Page: 285
Project Background Page: 285
Project Context Page: 285
Business Case Page: 285
Project Definition Page: 286
Project Organization Structure Page: 286
Project Approach Page: 286
Interview Summary Template Page: 286
Background Information Page: 286
Roles and Responsibilities Page: 287
Business Processes Page: 287
Interaction with or Ownership of Business Processes Page: 287
Interview Summary Page: 288
Open Issues—Questions Page: 288
Next Steps Page: 288
Business Case Document Template Page: 288
Introduction Page: 288
Efficiency Economics Page: 289
Ad Hoc Reports Page: 289
Asset Management Page: 289
Absenteeism Reduction Page: 289
Reduction in Coordination Costs Page: 289
Improved Negotiation Position Page: 289
Revenue Improvement Page: 290
Pricing Page: 290
Qualification Improvement Page: 290
Customer Valuation Improvement Page: 290
Improvement in Order Cancellations Page: 290
Improved Forecasting Page: 291
Strategic Opportunities Page: 291
Information Value for Your Customers Page: 291
Faster Response to Changing Conditions Page: 291
Quality of Decisions Page: 292
Business Analysis Deliverables Template Page: 292
Introduction and Overview Page: 292
Overview of the Deliverables Page: 292
High-Level Situation Analysis Page: 293
Purpose of the BI Project Page: 302
Stakeholder Matrix Page: 304
Business Requirements Page: 304
Project Management Constraints Page: 308
Scope of the Product Page: 309
Data Requirements Page: 310
Presentation Methods Page: 311
Business Security Requirements Page: 311
Other Requirements Page: 314
Project Plan and Task List Proposal Page: 314
Documentation Page: 314
Glossary Page: 315
Project Charter Document Template Page: 315
Overview Page: 315
Project Scope Page: 316
Project Organization Page: 316
External Relationships and Dependencies Page: 317
Project Approach Page: 317
Project Resources Page: 317
Risk Analysis Page: 317
Business Case Page: 318
Initial Project Plan Page: 318
Best Practice Sharing Template Page: 320
Overview Page: 321
Title Page Page: 322
Executive Summary Page: 322
Best Practice Identification Page: 322
Reason(s) Why This Is a Best Practice Page: 322
Definitions Page: 323
Resources for the Best Practice Page: 323
How the Best Practice Works Page: 323
Specific Instructions Page: 323
Cost Page: 324
Application Area Page: 324
Contact Information Page: 324
Generic Interview Guide Page: 324
Introduction Page: 324
How to Introduce the Interview Guide Page: 325
Generic Interview List Page: 325
Frame of Reference Page: 325
Generic Questions Page: 326
Finally Page: 327
Interview Guide per Functional Area Page: 327
Strategic Decision Making Page: 327
Finance and Controlling Page: 329
Marketing Page: 329
Sales Page: 330
Logistics and Operations Page: 331
Metadata Checklist Page: 331
Metadata for Integration Page: 331
Metadata for Transformation Page: 332
Generic Business Object Definitions Page: 332
Overview Page: 332
Defining the Principal Asset of an Organization: Customer Page: 333
Introduction Page: 333
Taxonomy of Customer Page: 333
Generic Definition of Customer Page: 334
Specific Customer Definitions Page: 335
Organization, a Meaningful Concept? Page: 336
The Many Definitions of Organization Page: 337
Employee or Partner? Page: 338
Product Page: 339
Territory Page: 341
Geographical Aspects of Territory Page: 342
Appendices Page: 343
Overview Page: 343
How Do You Become a BA4BI? Page: 343
Data Knowledge Page: 343
Application Knowledge Page: 344
Process Knowledge Page: 344
BI Skills Page: 345
Interpersonal Skills Page: 345
Appendix A: What to Ask on Your Job Interview Page: 345
Introduction Page: 345
Questions Page: 346
Appendix B: Business Intelligence from 1960 to Today Page: 346
Introduction Page: 347
Early Years Page: 347
Emergence of the Data Warehouse Page: 348
Business-Driven Business Intelligence Era Page: 349
Appendix C: The 101 on Data Warehousing Page: 349
Business Need Page: 349
Technology Barriers Page: 350
Denormalization versus the Third Normal Form Page: 351
Definitions Page: 351
Open to Multiple Sources Page: 353
Solutions Page: 353
Components Page: 353
Extract, Transform, Load Process Page: 355
Appendix D: Survey for a BI Project for the Purchasing Department Page: 356
Introduction Page: 356
A Few Caveats Page: 356
Example Page: 357
Bibliography Page: 359
Description:Aligning business intelligence (BI) infrastructure with strategy processes not only improves your organization's ability to respond to change, but also adds significant value to your BI infrastructure and development investments. Until now, there has been a need for a comprehensive book on business analysis for BI that starts with a macro view and