Contents
Prologue 13
Introduction 15
The 2010 Gartner report on global BI 23
Gartner’s 2010 magic quadrant 30
So what should BI plan to Improve? 33
Who stole my BI Business expectations? 36
Crime identification 37
The Tangential Findings 46
How some BI Projects are Run Today 51
‘As-Is’ BI Project decision Flow 51
The Story of Business Intelligence 64
The Way BI Projects should be Run 72
Who should own BVA in a BI Project 85
The BI – BVA Goal 86
The world of the Information Consumer 90
Initial Self Analysis 95
BI Maturity Matrix 97
BI Fault Tree Analysis 99
BVA in BI 101
Business Focused BI Framework 106
The Mirage of BI Success 110
The Economics of Efficiency 112
How decisions impact BI Projects 116
Team Dynamics and BI Projects 125
Can Executive Thinking get Delusional 130
Redefining BI project Success 135
Personal success definition- Type 1 137
BI success definition- Type 1 139
BVA success definition- Type 2 141
BVA Success measurement 142
When to implement BI 149
IT Project Cycles 149
Concurrent ERP & BI Go-Live 150
BI implemented subsequent to the ERP 153
The value of Business Value Attainment 159
Selling approach 166
Marketing Approach 166
Gartner’s Key Findings 172
Gartner’s Recommendations 2 173
Building a sustainable BI BVA roadmap 174
The BVA Blink moment 176
The 360 degree BI Initiative 178
A simple definition of a data warehouse 191
Building a ‘Social Value Engine’ in BI? 197
The macro BI Strategy Environment 203
The three cornerstones of BI - BVA 209
Business Participation 209
BI Strategy 210
Hallmarks of a BI strategy 213
Enterprise BI Cookbook 218
Architecture, Modeling & Standards in BI 222
BI Architecture 224
Business case: 226
1 - Business Architecture 226
2- Information Architecture 228
3- Data Quality Architecture 230
4- Technical Architecture 233
5 – Functional Architecture 236
6- Information Delivery Architecture 238
7- FEDW 239
8- FEDW 241
Caution: Building a BI on top of a BI 242
BI Modeling 245
Manual modeling: 249
Automated modeling: 250
Modeling for Business Value 260
Evolving from Data to Information Modeling 265
BI Standards 269
Contribute to the Social BI Capital 272
Key stakeholders of a BVA Kaizen Workshop 276
IPod and the art of Project Management 285
Traditional Project Management 285
The BVA BI Project management method 289
The IPod approach to BI Projects 294
‘Spanking New’ Information Revolution 299
Dawn of Information Acceptance 311
Start with BI BVA concepts 318
Enterprise ownership of BI 328
Core BI Competency 331
The ‘Key Success Factor’ for a FEDW BI 337
Business Ownership 341
Documented & Communicated Best Practices 341
Prioritized report delivery without distractions 341
Capital allocation in BI Project 344
About CA 346
Higher performance, lower costs: 349
What contributes to BI Failure 350
Is BI Prone to Recession? 357
Data, Information and Intelligence 358
The Hot BI Issues of tomorrow 365
The Value of the Business Value Owner 368
The Business Value Productivity Worker 371
The principles of TBVM 372
TBVM Impact on Costs 374
Differentiate Between Value & BVA 376
Roadmap to BI-BVA 378
Information consumers 378
Leverage the Strengths of the Triad 379
Five key BVA BI deployment questions 381
Information Consumer Requirements 383
Your Business Value Owner’s profile 386
The IDCM’s Methodology 388
TBVM Quality methods 389
Readying for the BVA harvest 393
CAB & BI Business Value 394
From Knowledge to Value Workers 399
The Value Workers Framework 403
Self Sustaining functionalities 404
BI Valuenomics takeaway’s 409
Plan for the Information consumer 411
The Future of BI 414
Reports or Informatics 414
Architecture: 418
Modeling 419
Executive Q&A 421
BI Valuenomics Resource List 424
Sample 1. Executive BI Best Practice Checklist 427
Sample 2: ‘BIOnTrak’ Checklist 428
Sample 3: BI BVA Checklist 429
Sample 4: Maturity matrix models 430
Sample 5: Source selection for Reports 432
Sample 6: The BVA Circle of BI Excellence 433
Sample 7: The global BVA process Flow 434
Sample 8: The BVA Project Management Life Cycle 434
Sample 9: Sample SIPOC for a BI Project 435
Bibliography: 436
Index 437
No comments:
Post a Comment