Full Description
A practical guide to making data capacity accessible, meaningful, and empowering in nonprofits.
In today's nonprofit landscape, the language of data is everywhere. Leaders are urged to be data-driven, but for many small and mid-sized organizations, the idea of working with data is as intimidating as it is essential. Some feel overwhelmed by the demand to build reliable systems for reporting and analysis, while others are buried under numbers they cannot organize into meaningful insights. In Data Party, T'Pring R. Westbrook and Allison K. Holmes bring fresh perspective to what it means for nonprofits to strengthen their data capacity.
Through real-world examples, sharp analysis, and a keen understanding of organizational challenges, the authors reveal how data can become less of a source of anxiety and more of a tool for learning, accountability, and growth. Rather than treating data as an abstract or technical puzzle, Westbrook and Holmes emphasize its role in shaping equitable practices and supporting mission-driven work. They show how organizations can move beyond fear and frustration to create systems that are not only functional but empowering. Their approach highlights the connections among good data practice, effective communication, and sustainable impact.
Data Party speaks directly to leaders, staff, and partners navigating the complexities of today's information-oriented environment. It provides a language and framework that make data capacity approachable while never losing sight of the broader values that drive nonprofit missions. For anyone invested in using information to make better decisions and deepen community impact, this book is an invaluable resource.
Contents
Table of Contents
Introduction
Section 1: All about data in non-profits
1. Who Are You and Why Are You Here?
2. Defining and Finding Data
3. Data Equity
Section 2: All About Data Capacity
4. Continuing the Data Review to Create a Data Catolog
5. Defining Data Capacity
6. Data Strategies and Frameworks
Section 3: All About Data Use
7. Data Use for Internal Learning
8. Storytelling with Data
9. Check-the-Box Data Use
Section 4: Ready for the Data Party
10. Enjoying the Data Party
Appendix 1: A Message About and With Funders
Appendix 2: A Message About and With Boards
Notes
Bibliography
Index
About the Authors
