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More About This Title A Practical Guide to Analytics for Governments: Using Big Data for Good
English
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.
English
MARIE LOWMAN is a principal industry consultant-government at SAS Institute. For more than two decades, she has overseen SAS's commitment to helping government organizations provide high-quality services to their constituents, while maximizing resources and budgets.
English
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
