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A Practical Guide to Analytics for Governments

Book Description

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.

Table of Contents

  1. Foreword
  2. Acknowledgments
  3. CHAPTER 1
    1. Child Welfare
    2. Education
    3. Healthcare
    4. Prescription Drug Abuse
    5. Criminal Justice and Public Safety
    6. Smart Cities
    7. Transportation
    8. Fraud, Waste, and Abuse
    9. Establishing a Center of Analytics
  4. CHAPTER 2
    1. Introduction
    2. Data-Driven Culture
    3. Data Sharing
    4. Data Quality
    5. Assessing Risk
    6. Addressing the Perceived Limits of Analytics Pertaining to Assessing Risk
    7. Impact on Workforce
    8. Notes
  5. CHAPTER 3
    1. Introduction
    2. Build Your Engine—Build the Education Data System Infrastructure
    3. Use the Dashboard to Measure What Matters Most—Student Learning Growth
    4. Use the Navigation System to Guide Education Policy
    5. Look through the Windshield with Predictive Analytics
    6. Drive the Car and Use the Data
    7. Notes
  6. CHAPTER 4
    1. Role of the Government
    2. The Challenge
    3. Value-Based Care
    4. Conclusion
    5. Notes
  7. CHAPTER 5
    1. Introduction
    2. National Initiatives
    3. Prescription Drug Monitoring Programs
    4. Advanced Analytics
    5. Health Outcomes
    6. Notes
  8. CHAPTER 6
    1. Improving Data Access and Data Quality
    2. Analytics throughout the Justice and Public Safety System
    3. Conclusion
    4. Notes
  9. CHAPTER 7
    1. Smart Cities
    2. Technologies in Smart City Solutions
    3. Data Management
    4. Analytics
    5. Notes
  10. CHAPTER 8
    1. Connected and Autonomous Vehicles (CAVs)
    2. The Role of Data and Analytics
    3. Benefits of Connected and Autonomous Vehicles
    4. National Focus on Adoption of Performance Measures
    5. Safety Performance Measures
    6. System Performance Measures
    7. The Role of Data and Analytics
    8. Benefits of Transportation Performance Management and Improved Measures
    9. Notes
  11. CHAPTER 9
    1. Healthcare
    2. Tax and the Underground Economy
    3. Benefits Programs
    4. Recommendations
    5. Notes
  12. CHAPTER 10
    1. Why a Center of Analytics?
    2. What Makes a Center of Analytics?
    3. Building a Center of Analytics?
    4. Notes
  13. Appendix
  14. Index
  15. EULA