Agile by Design E-Book

Rachel Alt-Simmons

• Herausgeber: John Wiley & Sons
• Kategorie: Fachliteratur
• Serie: SAS Institute Inc
• Sprache: Englisch

Seitenzahl: 349

Veröffentlichungsjahr: 2015

Beschreibung

Achieve greater success by increasing the agility of analytics lifecycle management Agile by Design offers the insight you need to improve analytic lifecycle management while integrating the right analytics projects into different frameworks within your business. You will explore, in-depth, what analytics projects are and why they are set apart from traditional development initiatives. Beyond merely defining analytics projects, Agile by Design equips you with the information you need to apply agile methodologies in a way that tailors your approach to individual initiatives--and the needs of your projects and team. Lifecycle management is a complex subject area, and with the increasingly important integration of analytics into multiple facets of business models, understanding how to use agile tools while managing a product lifecycle is essential to maintaining a competitive edge in today's professional world. * Gain an understanding of the principles, processes, and practices associated with effective analytic lifecycle management * Discover techniques that will enable you to successfully initiate, plan, and execute analytic development projects with an eye for the opportunity to engage agile methodologies * Understand agile development frameworks * Identify which agile methodologies are best for different frameworks--and how to apply them throughout the analytic development lifecycle With analytics becoming increasingly important in today's business world, you need to understand and apply agile methodologies in order to meet rising standards of efficiency and effectiveness. Agile by Design is the perfect reference for project managers, CFOs, IT managers, and marketing managers who want to cultivate a relevant, forward-thinking lifecycle management style.

Leseprobe

Table of Contents

Title Page

Copyright

Introduction

Who Should Read this Book

What's Inside

The Companion Website

About the Author

Chapter 1: Adjusting to a Customer-Centric Landscape

It's a Whole New World

From Customer-Aware to Customer-Centric

Being Customer-Centric, Operationally Efficient, and Analytically Aware

Our Example in Motion

Enabling Innovation

Chapter 2: The Analytic Lifecycle

What Are Analytics, Anyway?

Analytics in Your Organization

Case Study Example

Beyond IT: The Business Analytic Value Chain

Analytic Delivery Lifecycle

Getting Started

Summary

Chapter 3: Getting Your Analytic Project off the Ground

A Day in the Life

Visioning

Facilitating Your Visioning Session

Think Like a Customer

Summary

Chapter 4: Project Justification and Prioritization

Organizational Value of Analytics

Analytic Demand Management Strategy

Results

Project Prioritization Criteria

Knowledge Acquisition Spikes

Summary

Chapter 5: Analytics—the Agile Way

Getting Started

Understanding Waterfall

The Heart of Agile

The Agile Manifesto/Declaration of Interdependence

Selecting the Right Methodology

Summary

Chapter 6: Analytic Planning Hierarchies

Analytic Project Example

Inputs into Planning Cycles

Release Planning

Analytic Release Plan

Summary

Chapter 7: Our Analytic Scrum Framework

Getting Started

The Scrum Framework

Sprint Planning

Sprint Execution

Daily Standup

How Do We Know When We're Done?

Sprint Review

Sprint Retrospective

Summary

Chapter 8: Analytic Scrum Roles and Responsibilities

Product Owner Description

Scrummaster Description

Analytic Development Team Description

Additional Roles

Summary

Chapter 9: Gathering Analytic User Stories

Overview

User Stories

Tools and Techniques

Invest in Good Stories

Epics

Summary

Chapter 10: Facilitating Your Story Workshop

Stakeholder Analysis

Managing Stakeholder Influence

Agile versus Traditional Stakeholder Management

The Story Workshop

Must-Answer Questions

Post-Workshop

Summary

Chapter 11: Collecting Knowledge Through Spikes

With Data, Well Begun Is Half Done

The Data Spike

Data Gathering

Visualization and Iterations

Defining Your Target Variable

Summary

Chapter 12: Shaping the Analytic Product Backlog

Creating Your Analytic Product Backlog

Going Deep

Product Backlog Grooming

Defining “Ready”

Managing Flow

Summary

Chapter 13: The Analytic Sprint: Planning and Execution

Committing the Team

The Players

Sprint Planning

Velocity

Task Definition

The Team's Definition of Done

Organizing Work

Sprint Zero

Sprint Execution

Summary

Chapter 14: The Analytic Sprint: Review and Retrospective

Sprint Review

Sprint Retrospective

Sprint Planning (Again)

Layering in Complexity

Summary

Chapter 15: Building in Quality and Simplicity

Quality Planning

Simple Design

Coding Standards

Refactoring

Collective Code Ownership

Technical Debt

Testing

Summary

Chapter 16: Collaboration and Communication

The Team Space

Things to Put in the Information Radiator

Analytic Velocity

Improving Velocity

The Kanban or Task Board

Considering an Agile Project Management Tool

Summary

Chapter 17: Business Implementation Planning

Are We Done Yet?

Analytic Release Planning

Model Review

Persona-Based Design

Summary

Chapter 18: Building Agility into Test-and-Learn Strategies

What Is Test-and-Learn?

Layering in Complexity

Incorporating Test-and-Learn into Your Model Deployment Strategy

Creating a Culture of Experimentation

Failing Fast and Frequently

Who Owns Testing?

Getting Started

Summary

Chapter 19: Operationalizing Your Model Deployment Strategy

Finding the Right Model

What Is an Operational Model Process?

Getting Your Data in Order

Determine Model Scoring Frequency

Model Performance Monitoring

Analytics—The Success to Plan For

Summary

Chapter 20: Analytic Ever After

Beginning Your Journey

Supporting the Analytic Team

The Importance of Agile Analytic Leadership

Finding a Pilot Project

Scaling Up

The End of the Beginning

Sources

Index

End User License Agreement

Pages

xiii

xiv

xv

xvi

xvii

xix

1

2

3

4

5

6

7

8

9

10

11

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

49

50

51

52

53

54

55

56

57

58

59

60

61

63

64

65

66

67

68

69

70

71

72

73

75

76

77

78

79

80

81

82

83

84

85

86

87

88

89

90

91

92

93

94

95

96

97

98

99

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

141

142

143

144

145

146

147

148

149

151

152

153

154

155

156

157

158

159

160

161

162

163

165

166

167

168

169

170

171

172

173

174

175

177

178

179

180

181

182

183

184

185

186

187

188

189

191

192

193

194

195

196

197

198

199

200

201

203

204

205

206

207

208

209

210

211

212

213

214

215

216

217

218

219

220

221

222

223

224

225

227

228

229

230

231

232

233

234

235

236

237

238

239

240

241

242

243

244

245

246

247

248

249

250

251

253

255

256

257

258

259

260

261

262

Guide

Cover

Table of Contents

Introduction

Begin Reading

List of Illustrations

Chapter 1: Adjusting to a Customer-Centric Landscape

Figure 1.1 The Customer-Centric Analytic Hub Linked to Business Strategy

Figure 1.2 Enterprise Decision Capabilities

Chapter 2: The Analytic Lifecycle

Figure 2.1 Analytic ROI Model

Figure 2.2 Analytic Lifecycle Challenges Identified in a Healthcare Organization

Figure 2.3 Analytic Value Chain

Figure 2.4 Analytic Delivery Lifecycle

Chapter 3: Getting Your Analytic Project off the Ground

Figure 3.1 The Customer-Centric Analytic Hub Visioning Considerations

Figure 3.2 Customer Journey Map

Chapter 4: Project Justification and Prioritization

Figure 4.1 Business as Partners

Figure 4.2 BI&A Demand Management Model

Figure 4.3 BI&A Implement New Processes

Figure 4.4 Project Justification Considerations

Chapter 5: Analytics—the Agile Way

Figure 5.1 Analytic Project Management Decision Considerations

Figure 5.2 Waterfall Development Process

Figure 5.3 Waterfall Analytic Development Process

Figure 5.4 The Team's Agile Framework

Chapter 6: Analytic Planning Hierarchies

Figure 6.1 Analytic Planning Considerations

Figure 6.2 Planning Horizon

Chapter 7: Our Analytic Scrum Framework

Figure 7.1 Analytic Scrum Framework Considerations

Figure 7.2 Sprints Aligned to Releases

Figure 7.3 Sprint Planning within a Sprint Cycle

Chapter 8: Analytic Scrum Roles and Responsibilities

Figure 8.1 Analytic Scrum Role and Responsibility Considerations

Figure 8.2 The Product Owner

Figure 8.3 The ScrumMaster

Figure 8.4 Development Team Attributes

Chapter 9: Gathering Analytic User Stories

Figure 9.1 Analytic User Story Considerations

Figure 9.2 The Card, the Conversation, and the Confirmation

Figure 9.3 Analytic User Story in Action

Chapter 10: Facilitating Your Story Workshop

Figure 10.1 Story Workshop Considerations

Figure 10.2 Stakeholder Analysis Considerations

Chapter 11: Collecting Knowledge Through Spikes

Figure 11.1 Data Knowledge Gathering Considerations

Figure 11.2 Common Data Subject Areas for Customer Analytics

Figure 11.3 Data Subject Areas “Whiteboard”

Figure 11.4 Data Dictionary Example

Chapter 12: Shaping the Analytic Product Backlog

Figure 12.1 Analytic Product Backlog Considerations

Figure 12.2 The Analytic Story Map

Figure 12.3 Analytic Story Backbone: Customer Analytic Program

Figure 12.4 The Product Backlog Evolves Over Time

Chapter 13: The Analytic Sprint: Planning and Execution

Figure 13.1 The Product Backlog Evolves over Time

Chapter 14: The Analytic Sprint: Review and Retrospective

Figure 14.1 Analytic Sprint Review and Retrospective Considerations

Chapter 15: Building in Quality and Simplicity

Figure 15.1 Quality Considerations

Figure 15.2 Analytic Cause-and-Effect Diagram

Figure 15.3 Technical Debt Quadrant

Chapter 16: Collaboration and Communication

Figure 16.1 Collaboration and Communication Considerations

Figure 16.2 The Team Space

Figure 16.3 Analytic Sprint Burndown Chart

Figure 16.4 Analytic Kanban Board

Chapter 17: Business Implementation Planning

Figure 17.1 Business Implementation Planning Considerations

Figure 17.2 Analytic Release Presentation

Figure 17.3 ADP Customer Segments

Figure 17.4 ABP Customer Persona for Segment One

Figure 17.5 Banking Case Study Customer Lifestages and Needs

Chapter 18: Building Agility into Test-and-Learn Strategies

Figure 18.1 Agility Test and Learn Considerations

Chapter 19: Operationalizing Your Model Deployment Strategy

Figure 19.1 Operationalized Model Deployment Considerations

Figure 19.2 Example ROC Curve

Figure 19.3 Insurance Claims Process—Operational Model

Figure 19.4 Designing a Conceptual Business Workflow

List of Tables

Chapter 3: Getting Your Analytic Project off the Ground

Table 3.1 Vision Statement Template

Table 3.2 Vision Statement

Chapter 5: Analytics—the Agile Way

Table 5.1 Agile Analytic Values

Chapter 6: Analytic Planning Hierarchies

Table 6.1 Analytic Release Plan

Chapter 9: Gathering Analytic User Stories

Table 9.1 Invest Attributes for Analytics

Chapter 10: Facilitating Your Story Workshop

Table 10.1 Capturing Initial Hypotheses

Table 10.2 Hypothesis-Data Matrix

Chapter 12: Shaping the Analytic Product Backlog

Table 12.1 Analytic Product Backlog Items

Chapter 13: The Analytic Sprint: Planning and Execution

Table 13.1 The Players

Table 13.2 Analytic Sprint Tasks

Chapter 14: The Analytic Sprint: Review and Retrospective

Table 14.1 Analytic Team Retrospective Example

Table 14.2 Analytic Data Stories

Chapter 19: Operationalizing Your Model Deployment Strategy

Table 19.1 Example Lift Chart

Chapter 20: Analytic Ever After

Table 20.1 Questions to Ask When Deciding Whether to Be Analytically Agile

Wiley & SAS Business Series

The Wiley & SAS Business Series presents books that help senior-level managers with their critical management decisions.

Titles in the Wiley & SAS Business Series include: