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A Practical Guide to Analytics for Governments: Using Big Data for Good



A Practical Guide to Analytics for Governments: Using Big Data for Good

Marie Lowman (Editor)

ISBN: 978-1-119-36285-2 May 2017 224 Pages



Analytics can make government work better—this book shows you how

A Practical Guide to Analytics for Governments provides demonstrations of real-world analytics applications for legislators, policy-makers, and support staff at the federal, state, and local levels. Big data and analytics are transforming industries across the board, and government can reap many of those same benefits by applying analytics to processes and programs already in place. From healthcare delivery and child well-being, to crime and program fraud, analytics can—in fact, already does—transform the way government works. This book shows you how analytics can be implemented in your own milieu: What is the downstream impact of new legislation? How can we make programs more efficient? Is it possible to predict policy outcomes without analytics? How do I get started building analytics into my government organization? The answers are all here, with accessible explanations and useful advice from an expert in the field.

Analytics allows you to mine your data to create a holistic picture of your constituents; this model helps you tailor programs, fine-tune legislation, and serve the populace more effectively. This book walks you through analytics as applied to government, and shows you how to reap Big data's benefits at whatever level necessary.

  • Learn how analytics is already transforming government service delivery
  • Delve into the digital healthcare revolution
  • Use analytics to improve education, juvenile justice, and other child-focused areas
  • Apply analytics to transportation, criminal justice, fraud, and much more

Legislators and policy makers have plenty of great ideas—but how do they put those ideas into play? Analytics can play a crucial role in getting the job done well. A Practical Guide to Analytics for Governments provides advice, perspective, and real-world guidance for public servants everywhere.

Foreword xi

Acknowledgments xv

Chapter 1 Introduction 1
Marie Lowman

Child Welfare 4

Education 5

Healthcare 5

Prescription Drug Abuse 6

Criminal Justice and Public Safety 6

Smart Cities 7

Transportation 7

Fraud, Waste, and Abuse 8

Establishing a Center of Analytics 8

Chapter 2 Child Well-Being 11
Will Jones

Introduction 12

Data-Driven Culture 13

Data Sharing 16

Data Quality 18

Assessing Risk 22

Addressing the Perceived Limits of Analytics Pertaining to

Assessing Risk 25

Impact on Workforce 29

Notes 32

Chapter 3 Education 35
Nadja Young

Introduction 36

Build Your Engine—Build the Education Data

System Infrastructure 40

Use the Dashboard to Measure What Matters Most—Student

Learning Growth 42

Use the Navigation System to Guide Education Policy 47

Look through the Windshield with Predictive Analytics 56

Drive the Car and Use the Data 62

Notes 64

Chapter 4 Healthcare 67
Jeremy Racine

Role of the Government 68

The Challenge 72

Value-Based Care 89

Conclusion 96

Notes 97

Chapter 5 Prescription Drug Abuse 99
Steve Kearney

Introduction 100

National Initiatives 103

Prescription Drug Monitoring Programs 106

Advanced Analytics 107

Health Outcomes 109

Notes 111

Chapter 6 Criminal Justice and Public Safety 113
David Kennedy

Improving Data Access and Data Quality 117

Analytics throughout the Justice and Public Safety

System 121

Conclusion 126

Notes 127

Chapter 7 Brilliant Analytics for Smart Cities 129
Jennifer Robinson

Smart Cities 131

Technologies in Smart City Solutions 133

Data Management 136

Analytics 137

Notes 150

Chapter 8 Transportation 151
Jim Trogdon

Connected and Autonomous Vehicles (CAVs) 152

The Role of Data and Analytics 154

Benefi ts of Connected and Autonomous Vehicles 155

National Focus on Adoption of Performance Measures 156

Safety Performance Measures 157

System Performance Measures 157

The Role of Data and Analytics 159

Benefi ts of Transportation Performance Management and

Improved Measures 162

Notes 163

Chapter 9 Fraud, Waste, and Abuse 165
Carl Hammersburg

Healthcare 167

Tax and the Underground Economy 170

Benefi ts Programs 172

Recommendations 174

Notes 177

Chapter 10 Center of Analytics 179
Kay Meyer

Why a Center of Analytics? 183

What Makes a Center of Analytics? 184

Building a Center of Analytics? 188

Notes 190

Appendix 191

Index 193

ChapterPageDetailsDatePrint Run
Copyright pageErrata in text
We need to adjust the copyright page in both the physical and Ebook files.
The copyright should be:
SAS Institute, Inc.