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.
Autorentext
RACHEL ALT-SIMMONS, MBB, PMI-ACP, PMP, CSM, is a principal consultant within the Financial Services Practice at SAS Institute and an adjunct faculty member at Boston University. She is a performance-excellence business intelligence (BI) and analytics practitioner with deep experience in the insurance and financial services industries.
Inhalt
Introduction xiii
About the Author xix
Chapter 1 Adjusting to a Customer-Centric Landscape 1
It's a Whole New World 1
From Customer-Aware to Customer-Centric 3
Being Customer-Centric, Operationally Efficient, and Analytically Aware 6
Our Example in Motion 9
Enabling Innovation 10
Chapter 2 The Analytic Lifecycle 13
What Are Analytics, Anyway? 13
Analytics in Your Organization 15
Case Study Example 17
Beyond IT: The Business Analytic Value Chain 18
Analytic Delivery Lifecycle 19
Stage OnePerform Business Discovery 20
Stage TwoPerform Data Discovery 21
Stage ThreePrepare Data 22
Stage FourModel Data 23
Stage FiveScore and Deploy 24
Stage SixEvaluate and Improve 25
Getting Started 25
Summary 26
Chapter 3 Getting Your Analytic Project off the Ground 27
A Day in the Life 29
Visioning 30
Facilitating Your Visioning Session 32
Think Like a Customer 33
Summary 36
Chapter 4 Project Justification and Prioritization 37
Organizational Value of Analytics 37
Analytic Demand Management Strategy 38
Results 40
Project Prioritization Criteria 42
Value-Based Prioritization 43
Financial-Based Prioritization 45
Knowledge Acquisition Spikes 46
Summary 47
Chapter 5 Analyticsthe Agile Way 49
Getting Started 49
Understanding Waterfall 51
The Heart of Agile 53
The Agile Manifesto/Declaration of Interdependence 54
Selecting the Right Methodology 57
Scrum 58
eXtreme Programming (XP) 59
Summary 61
Chapter 6 Analytic Planning Hierarchies 63
Analytic Project Example 63
Inputs into Planning Cycles 66
Release Planning 69
Analytic Release Plan 70
Release Train 71
Summary 73
Chapter 7 Our Analytic Scrum Framework 75
Getting Started 75
The Scrum Framework 77
Sprint Planning 78
Sprint Execution 80
Daily Standup 81
How Do We Know When We're Done? 82
Sprint Review 83
Sprint Retrospective 85
Summary 85
Chapter 8 Analytic Scrum Roles and Responsibilities 87
Product Owner Description 89
Product Owner: A Day in the Life 91
ScrumMaster Description 92
ScrumMaster: A Day in the Life 94
Analytic Development Team Description 95
Additional Roles 97
Summary 98
Chapter 9 Gathering Analytic User Stories 101
Overview 101
User Stories 103
The Card 104
Analytic User Story Examples 105
Technical User Stories 106
The Conversation 107
The Confirmation 107
Tools and Techniques 108
INVEST in Good Stories 109
Epics 111
Summary 112
Chapter 10 Facilitating Your Story Workshop 113
Stakeholder Analysis 113
Managing Stakeholder Influence 116
Agile versus Traditional Stakeholder Management 118
The Story Workshop 118
Workshop Preparation 119
Facilitating Your Workshop 121
Must-Answer Questions 123
Post-Workshop 124
Summary 126
Chapter 11 Collecting Knowledge Through Spikes 127
With Data, Well Begun Is Half Done 127
The Data Spike 129
Data Gathering 131
Visualization and Iterations 135
Defining Your Target Variable 136
Summary 138
Chapter 12 Shaping the Analytic Product Backlog 1...