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New Era of Enterprise Business Intelligence, The: Using Analytics to Achieve a Global Competitive Advantage, Portable Documents

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New Era of Enterprise Business Intelligence, The: Using Analytics to Achieve a Global Competitive Advantage, Portable Documents

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  • Copyright 2011
  • Dimensions: 6" x 9"
  • Pages: 320
  • Edition: 1st
  • eBook (Watermarked)
  • ISBN-10: 0-13-210057-6
  • ISBN-13: 978-0-13-210057-1

A Complete Blueprint for Maximizing the Value of Business Intelligence in the Enterprise

The typical enterprise recognizes the immense potential of business intelligence (BI) and its impact upon many facets within the organization—but it’s not easy to transform BI’s potential into real business value. In The New Era of Enterprise Business Intelligence, top BI expert Mike Biere presents a complete blueprint for creating winning BI strategies and infrastructure, and systematically maximizing the value of information throughout the enterprise.

This product-independent guide brings together start-to-finish guidance and practical checklists for every senior IT executive, planner, strategist, implementer, and the actual business users themselves. Drawing on thousands of hours working with enterprise customers, Biere helps decision-makers choose from today’s unprecedented spectrum of options, including the latest BI platform suites and appliances. He offers practical, “in-the-trenches” insights on a wide spectrum of planning and implementation issues, from segmenting and supporting users to working with unstructured data.

Coverage includes

  • Understanding the scope of today’s BI solutions and how they fit into existing infrastructure
  • Assessing new options such as SaaS and cloud-based technologies
  • Avoiding technology biases and other “project killers”
  • Developing effective RFIs/RFPs and proofs of concept
  • Setting up competency centers and planning for skills development
  • Crafting a better experience for all your business users
  • Supporting the requirements of senior executives, including performance management
  • Cost-justifying BI solutions and measuring success
  • Working with enterprise content management, text analytics, and search
  • Planning and constructing portals, mashups, and other user interfaces
  • Previewing the future of BI

Sample Content

Table of Contents

Chapter 1 Introduction to Business Intelligence Today 1

Setting Expectations 3

The Face of Business Intelligence Now 5

The Characteristics of a BI Vision and Strategy 8

Setting the Stage for BI Success 9

Within the IT Organization 9

Within the End User Community 11

Summary 12

Chapter 2 Defining Business Intelligence Today 13

Defining Business Intelligence within Your Organization 13

Platform Implications 15

What Is “Mission Critical”? 17

BI Solution Elements 18

Business Intelligence and Data Warehouse: Are They Synonymous? 21

Business Intelligence as a Key Differentiator from Competition 22

Productivity Factors–Working Smarter 25

Summary 27

Chapter 3 The History of Business Intelligence within Your Organization 29

Mapping Your Environment to the BI Evolutionary Tree 29

Creating an Internal Record of BI Usage 34

Analysis of Displacement 38

Summary 40

Chapter 4 The Scope of BI Solutions Today and How They May Relate to You 41

The BI Infrastructure 41

BI Drivers, Trends, Sources, and Deployment Options 44

Mergers and Acquisitions–The Emergence of BI “Mega-Vendors” 45

BI Suites/Platforms versus Independents 46

Open Source BI Tools 47

Software as a Service (SaaS) 48

Cloud Computing 49

BI Appliances 51

Dynamic Warehousing–Extending Beyond Structured Information 52

Operational and Real-Time BI 54

ETL and Change Data Capture–Their Impact and Importance on BI 55

Master Data Management (MDM) and Its Role within a BI Infrastructure 58

The Impact of XML Data 59

BI Provisioning Models–What Is Best for You? 61

Establishing a BI Competency Center (BICC) 62

Creating an Information Agenda 62

Summary 64

Chapter 5 Elements of BI Solutions: The End User Experience 65

End User Assumptions 65

Setting Up Data for BI 67

The Functional Area of BI Tools 69

Query Tools and Reporting 69

OLAP and Advanced Analytics 71

ROLAP Solutions Versus OLAP 73

Understanding the Critical Role of Time Dimensionality 74

Data Mining 76

Text Analytics 77

Spreadsheets–Effective Use and the Implications on Security/Compliance 79

Executive Information Systems (EIS) 80

Operational BI 83

Embedded BI and Event-Driven Processes 86

ETL/ELT and Real-Time Change Data Capture (CDC) Options 87

Summary 90

Chapter 6 The Impact of Business Intelligence on Roles within the Enterprise 93

End User Categories 93

End User Management 96

Skills Definitions 98

IT Support Roles 100

BI Tools Support Staff and Business Analysts 101

The Executive/Managerial Role 102

Non-Technical and Casual Users 104

Summary 105

Chapter 7 Corporate Performance Management and the Executive View of Business Intelligence 107

Defining CPM 108

Elements of a CPM System 109

Vision 111

Strategy Map 111

Balanced Scorecard 112

Dashboards 113

Feedback 114

The “PM”s Available Today 115

The Executive View of BI 117

Summary 118

Chapter 8 Enterprise Content Management, Unstructured Data, Text Analytics, and Enterprise Search 121

Enterprise Content Management (ECM) 123

Enterprise Search 125

Using RSS as a Conduit for External Information 129

Text Analytics 130

The Search and Text Analytics Project 132

Text Analytics as a Part of the Complete BI Picture 133

The Impact of XML on BI 134

Summary 135

Chapter 9 Key Influencers in the Enterprise 137

User Segmentation Reality Check 138

Identifying the Power Brokers–Key Influencers 140

Attributes of Key Influencers 143

Extending BI Beyond the Enterprise 144

Summary 145

Chapter 10 Justifying Business Intelligence Solutions and Measuring Success 147

Justification Scenarios 148

BI Roadmaps 148

Articulating Potential Benefits 150

Business Unit Impact on Justification 151

Big Purchase No Plan 153

ROI, TCO, and TCA 156

Measuring BI Success 158

BI Clouds and Outsourcing 160

Summary 161

Chapter 11 Platform Selection, Technology Biases, and Other “Traps” 163

Platform Selection for BI Tools–The Database View 164

Platform Selection for BI Tools–The Tools View 166

Technology Biases 168

Other BI “Traps” 170

Handling Biases 170

Summary 172

Chapter 12 Intelligent Responses to an RFI/RFP and Setting Up a Proof of Concept/Technology 175

Creating a Better RFI/RFP 176

Get into the Details 176

Coordinating IT and Business Users–Ranking the Proper Criteria 179

Data Access and Performance Aspects of an RFI/RFP 179

Documenting RFP/RFI Information for the Future 181

The PoC/PoT Scenario 182

Matching RFI/RFP Checklists to a PoC/PoT and Documentation 184

Summary 185

Chapter 13 End-User Support and Productivity 187

WYNTK–What You Need to Know About BI Support 188

Centralized Support–A BI Competency Center (BICC) 191

Methodology of Work Submission and Success 195

Vendor BICCs 196

Productivity–A Valuable Offshoot of Effective BI 197

What Is End-User Productivity? 197

Summary 199

Chapter 14 Implementation of Business Intelligence Solutions 201

Setting User Expectations Early and Coping with the First Project 202

How to Scope the First Project 203

BI Skills Required 205

End-User Provisos 207

BI Solution Elements–Query, Reporting, OLAP 208

Query and Reporting Application Elements 208

OLAP Application Elements 210

System Sizing, Backup, and Recovery Issues 212

System Sizing 213

Backup and Recovery 214

Summary 215

Chapter 15 The Impact of Service-Oriented Architectures (SOA) on Business Intelligence Solutions 217

SOA So What? 218

Is SOA Practical for BI? 220

Getting Started with a BI SOA 221

BI SOA Frameworks 225

Summary 227

Chapter 16 Enterprise Portals, Mashups, and Other User Interfaces 229

The Enterprise Portal–Its Purpose and Potential 230

Mashups–A Perfect BI Delivery Model 234

Understanding BI in the Context of Portals, Mashups, and Collaboration 235

Summary 239

Chapter 17 An End User Survival Guide 241

BI Basics 242

Ease of Use, Leprechauns, and the Yeti 243

Interacting with BI Tools and Features 244

The BI Skills Conundrum 247

So Who Are You? 248

BI Skills Assessment 250

Do You Have a Standard for Naming BI Objects? 253

White Board the Data Sources and Combinations 254

Summary 256

Chapter 18 Checklists for BI Planning 257

An Enterprise Checklist 258

The Business Unit Level Checklist 260

A BICC Checklist 262

An IT Checklist 264

Summary 266

Chapter 19 Speculation on the Future of Business Intelligence 269

Emerging BI Technologies 270

Technology Gaps 274

Trends to Monitor 276

Responding to Trends 278

Summary 279

Index 281


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