Growing Business Intelligence: An Agile Approach to Leveraging Data and Analytics for Maximum Business Value

How do we enable our organizations to enjoy the often significant benefits of BI and analytics, while at the same time minimizing the cost and risk of failure? In this book, I am not going to try to be prescriptive; I won't tell you exactly how to build your BI environment. Instead, I am going to focus on a few core principles that will enable you to navigate the rocky shoals of BI architecture and arrive at a destination best suited for your particular organization. Some of these core principles include: Have an overarching strategy, plan, and roadmap, Recognize and leverage your existing technology investments, Support both data discovery and data reuse, Keep data in motion, not at rest, Separate information delivery from data storage, Emphasize data transparency over data quality, Take an agile approach to BI development, This book will show you how to successfully navigate both the jungle of BI technology and the minefield of human nature, it will show you how to create a BI architecture and strategy that addresses the needs of all organizational stakeholders. It will show you how to maximize the value of your BI investments. It will show you how to manage the risk of disruptive technology. And it will show you how to use agile methodologies to deliver on the promise of BI and analytics quickly, succinctly, and iteratively. This book is about many things. But principally, it's about success. The goal of any enterprise initiative is to succeed and to derive benefit-benefit that all stakeholders can share in. I want you to be successful. I want your organization to be successful. This book will show you how. This book is for anyone who is currently or will someday be working on a BI, analytics, or Big Data project, and for organizations that want to get the maximum amount of value from both their data and their BI technology investment. This includes all stakeholders in the BI effort-not just the data people or the IT people, but also the business stakeholders who have the responsibility for the definition and use of data.

1124720496
Growing Business Intelligence: An Agile Approach to Leveraging Data and Analytics for Maximum Business Value

How do we enable our organizations to enjoy the often significant benefits of BI and analytics, while at the same time minimizing the cost and risk of failure? In this book, I am not going to try to be prescriptive; I won't tell you exactly how to build your BI environment. Instead, I am going to focus on a few core principles that will enable you to navigate the rocky shoals of BI architecture and arrive at a destination best suited for your particular organization. Some of these core principles include: Have an overarching strategy, plan, and roadmap, Recognize and leverage your existing technology investments, Support both data discovery and data reuse, Keep data in motion, not at rest, Separate information delivery from data storage, Emphasize data transparency over data quality, Take an agile approach to BI development, This book will show you how to successfully navigate both the jungle of BI technology and the minefield of human nature, it will show you how to create a BI architecture and strategy that addresses the needs of all organizational stakeholders. It will show you how to maximize the value of your BI investments. It will show you how to manage the risk of disruptive technology. And it will show you how to use agile methodologies to deliver on the promise of BI and analytics quickly, succinctly, and iteratively. This book is about many things. But principally, it's about success. The goal of any enterprise initiative is to succeed and to derive benefit-benefit that all stakeholders can share in. I want you to be successful. I want your organization to be successful. This book will show you how. This book is for anyone who is currently or will someday be working on a BI, analytics, or Big Data project, and for organizations that want to get the maximum amount of value from both their data and their BI technology investment. This includes all stakeholders in the BI effort-not just the data people or the IT people, but also the business stakeholders who have the responsibility for the definition and use of data.

44.95 In Stock
Growing Business Intelligence: An Agile Approach to Leveraging Data and Analytics for Maximum Business Value

Growing Business Intelligence: An Agile Approach to Leveraging Data and Analytics for Maximum Business Value

by Larry Burns
Growing Business Intelligence: An Agile Approach to Leveraging Data and Analytics for Maximum Business Value

Growing Business Intelligence: An Agile Approach to Leveraging Data and Analytics for Maximum Business Value

by Larry Burns

Paperback

$44.95 
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Overview

How do we enable our organizations to enjoy the often significant benefits of BI and analytics, while at the same time minimizing the cost and risk of failure? In this book, I am not going to try to be prescriptive; I won't tell you exactly how to build your BI environment. Instead, I am going to focus on a few core principles that will enable you to navigate the rocky shoals of BI architecture and arrive at a destination best suited for your particular organization. Some of these core principles include: Have an overarching strategy, plan, and roadmap, Recognize and leverage your existing technology investments, Support both data discovery and data reuse, Keep data in motion, not at rest, Separate information delivery from data storage, Emphasize data transparency over data quality, Take an agile approach to BI development, This book will show you how to successfully navigate both the jungle of BI technology and the minefield of human nature, it will show you how to create a BI architecture and strategy that addresses the needs of all organizational stakeholders. It will show you how to maximize the value of your BI investments. It will show you how to manage the risk of disruptive technology. And it will show you how to use agile methodologies to deliver on the promise of BI and analytics quickly, succinctly, and iteratively. This book is about many things. But principally, it's about success. The goal of any enterprise initiative is to succeed and to derive benefit-benefit that all stakeholders can share in. I want you to be successful. I want your organization to be successful. This book will show you how. This book is for anyone who is currently or will someday be working on a BI, analytics, or Big Data project, and for organizations that want to get the maximum amount of value from both their data and their BI technology investment. This includes all stakeholders in the BI effort-not just the data people or the IT people, but also the business stakeholders who have the responsibility for the definition and use of data.


Product Details

ISBN-13: 9781634621472
Publisher: Technics Publications
Publication date: 10/31/2016
Pages: 198
Product dimensions: 7.40(w) x 9.20(h) x 0.50(d)

About the Author

Larry Burns has worked in IT for more than 30 years as a database developer, DBA, data modeler, application developer, consultant, and teacher. He holds a B.S. in Mathematics from the University of Washington, and a Master's degree in Software Engineering from Seattle University. He currently works for a global Fortune 500 company as a Data and BI Architect and Data Engineer (i.e., data modeler). He has written numerous articles for TDAN.com and DMReview.com, and is the author of Building the Agile Database (Technics Publications LLC, 2011). His interests include music, gardening, and landscaping. He is also an active member of Toastmasters, the international public speaking organization. He lives in Kent, Washington with his wife Becky.

Table of Contents

Introduction 1

Section I What Kind of Garden Do You Want? 7

Chapter 1 The Promise and Peril of BI 11

The Question of Data Management 13

Importance of Process 14

Chapter 2 Data as an Asset 17

Chapter 3 Processes of BI 21

BI as Asset Management 22

BI as Risk Management 24

BI as Opportunity Management 26

BI as Process Management 28

BI as Stakeholder Management 29

BI as Knowledge Management 30

Chapter 4 Achieving the BI Vision 33

Chapter 5 BI and Business Agility 37

Section II Building the Bones 41

Chapter 6 Reality Check 43

Chapter 7 Pattern-Based BI 51

Pattern 1 Quick Wins 52

Pattern 2 Forklift 57

Pattern 3 Operational Data Store (ODS) 62

Pattern 4 Data Lake 66

Chapter 8 "Working Toward" 69

Section III From the Ground Up 75

Chapter 9 Data and Dirt 77

Data Management Misconceptions 79

Some Inconvenient Truths 81

Meaning of Metadata 83

"Non-Invasive" Approach to Data Quality 85

Chapter 10 A Room With Many Views 89

The Problem of Over-Consolidation 91

The Problem of Under-Consolidation 93

The Value of Information Views 94

Chapter 11 Perennial BI 97

What Is "Perennial BI"? 99

From Insight to Action 99

Characteristics of Perennial BI 101

Examples of Perennial BI 103

Section IV Weeds, Pests and Critters 107

Chapter 12 Weeds and Mulch 109

Chapter 13 Mole Holes 117

Data Bias 118

Mis-Application of Analysis 119

Misunderstanding of Data 121

Process Impediments 122

Data is the New Water 124

"Citizen" Data Scientists 124

Chapter 14 Thugs and Slackers 127

Chapter 15 Dealing With Pests 133

Agile Principles for BI Bottlenecks 134

Section V The Sustainable Garden 143

Chapter 16 Sustainable BI 145

Sustainable BI Architecture 146

Sustainable BI Design 148

Sustainable BI Implementation 149

Sustainable BI Process 151

Sustainable BI Governance 153

Chapter 17 BI Critical Success Factors 155

Section VI Case Study 159

Identifying the Data 160

Data We Have (And Can Get Easily) 162

Data We Don't Have (But Can Get Easily) 163

Data We Don't Have (And Can't Get Easily) 164

Designing the Solution 164

Acquiring the Data 165

Provisioning the Data 167

Managing the Data 168

Managing the BI Process 171

Afterword 173

About the Author 175

Notes and Resources 177

Acronyms and Terms 179

Index 183

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