Apr 4, 2010

BI Valyenomics 1- The Story of BI Success - Chapter list

Introduction 10

The 2010 Gartner positioning of global BI 14
     The 2010 Gartner’s magic quadrant 19
     So what should BI do in 2010? 22

Who stole my BI Business expectations? 24
      Crime identification 26
      Now come the interesting findings 36
      How Good BI Projects go bad 42
      ‘As-Is’ BI Project decision Flow 42

The Story of Business Intelligence 54

Right BI the First time, Every time 62

Who should own BVA in a BI Project 75
      The BI – BVA Goal 76

The world of the Information Consumer 80

Initial Self Test 85
       BI Maturity matrix 88
       BI Fault Tree Analysis 89
       BVA in BI 91
       Business Focused BI Framework 94

The mirage of BI Success 98
     The economics of efficiency 101

How decisions impact BI Projects 105

Team Dynamics in BI Projects 113

Can Executive thinking get Delusional117
     Redefining BI project Success 122
     BI success definition- Type 1 125
     BVA success definition- Type 2 126
     BVA Success measurement 127
     How good investments sometimes go bad 130

When to implement BI 134
     Concurrent BI & ERP Go-Live 134
     BI implemented after ERP 139

The value of Business Value Attainment 144
     Gartner’s Key Findings 156
     Gartner’s Recommendations 2 157

Building a sustainable BI BVA roadmap 158
     The BVA Proposal 159
The 360 degree BI Initiative 161

A simple definition of a data warehouse 172

Building a social value engine in BI? 177

The macro BI Strategy Environment 183

The four cornerstones of BI - BVA 188
     BI Strategy 188
     Hallmarks of a BI strategy? 192
     Enterprise BI Cookbook 196

Architecture, Modeling & Standards in BI 200

BI Architecture 201
     1 - Business Architecture: 202
     2- Information Architecture: 204
     3- Data Quality Architecture 205
     4- Technical Architecture: 208
     5 – Functional Architecture: 210
     6- Information Delivery Architecture: 211
     7- FEDW Architecture: 212

BI Modeling 214
    Manual modeling: 216
    Automated modeling: 217
    Modeling for Business Value 225
    From Data to Information Modeling 230

BI Standards 233
     Teaming for BI Success 236
     Key stakeholders of the BVA Kaizen Workshop 237

Project Management & the IPod approach 245
     Traditional Project Management 245
     NEW BVA BI Project management 248
     The IPod approach to BI Projects 253

How new is our Information revolution? 258
     Why is BI Important 262
     Dawn of Information Acceptance 266
     Our start with the BI BVA concepts 273

The enterprise ownership of BI 280
     Core BI Competency 283
     The ‘Key Success Factor’ for FEDW is Standards 289
     Business Ownership and participation in all BI decisions 292
     Documented & Communicated Best Practices 293
     Prioritized reporting delivery with high performance designs 293

Capital allocation in BI Project 296
     About CA, ABC, BBC and CAP 298
     Higher performance, lower costs: 300

What contributes to BI Failure 302
     Is BI Prone to Recession? 308

Data, Information and Intelligence 309
     The Hot BI Issues of tomorrow 316

Leveling the BI playing Field 319
     The Value of the Business Value Owner 324
     The Business Value Productivity worker 328
     The principles of TBVM 330
     TBVM Impact on Costs 331
     How to Differentiate between Value & BVA 333

Roadmap to BI-Business Value Attainment 335
     Information consumers 335
     Leverage the strengths of the Triad 336
    Two key BVA BI deployment questions 336
     Information Consumer Requirements 338
     Differentiating between data and Information 339
     Business Value Owner’s profile 340
     The IDCM Methodology 342
     TBVM Quality methods 342
     Summary 344

Readying for the Information era 345
     The BI Business Value CAB Machine 346

From Knowledge to Value Workers 350
     The Value Workers Framework 354
     Self Sustaining functionalities 355
     BI Valuenomics takeaway’s 360

BI Valuenomics Resource List 361
SAMPLE 1. Executive BI Checklist (Planning Steps) 363
Sample: Maturity matrix models: 364


Bibliography: 367