by Marie Lowman (Editor)
About the Author
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.
About this book
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
Brief contents
CHAPTER 1
Child Welfare
Education
Healthcare
Prescription Drug Abuse
Criminal Justice and Public Safety
Smart Cities
Transportation
Fraud, Waste, and Abuse
Establishing a Center of Analytics
CHAPTER 2
Introduction
Data-Driven Culture
Data Sharing
Data Quality
Assessing Risk
Addressing the Perceived Limits of Analytics Pertaining to Assessing Risk
Impact on Workforce
Notes
CHAPTER 3
Introduction
Build Your Engine—Build the Education Data System Infrastructure
Use the Dashboard to Measure What Matters Most—Student Learning Growth
Use the Navigation System to Guide Education Policy
Look through the Windshield with Predictive Analytics
Drive the Car and Use the Data
Notes
CHAPTER 4
Role of the Government
The Challenge
Value-Based Care
Conclusion
Notes
CHAPTER 5
Introduction
National Initiatives
Prescription Drug Monitoring Programs
Advanced Analytics
Health Outcomes
Notes
CHAPTER 6
Improving Data Access and Data Quality
Analytics throughout the Justice and Public Safety System
Conclusion
Notes
CHAPTER 7
Smart Cities
Technologies in Smart City Solutions
Data Management
Analytics
Notes
CHAPTER 8
Connected and Autonomous Vehicles (CAVs)
The Role of Data and Analytics
Benefits of Connected and Autonomous Vehicles
National Focus on Adoption of Performance Measures
Safety Performance Measures
System Performance Measures
The Role of Data and Analytics
Benefits of Transportation Performance Management and Improved Measures
Notes
CHAPTER 9
Healthcare
Tax and the Underground Economy
Benefits Programs
Recommendations
Notes
CHAPTER 10
Why a Center of Analytics?
What Makes a Center of Analytics?
Building a Center of Analytics?
Notes
Appendix
Index
Series: Wiley and SAS Business Series
Hardcover: 224 pages
Publisher: Wiley; 1 edition (June 6, 2017)
Language: English
ISBN-10: 1119362822
ISBN-13: 978-1119362821