Data Playbook
For purpose-driven organizations, data means more than just numbers and graphs–it is about understanding what more you can do to change lives and strengthen communities. The Data Playbook, from Charles and Lynn Schusterman Family Philanthropies, provides the building blocks you need to put data to work for your mission through a measured approach to understanding and telling stories of impact.
Actionable Measurement Guide
The Bill & Melinda Gates Foundation Guide to Actionable Measurement is driven by three basic principles: 1) Measurement should be designed with a purpose in mind — to inform decisions and/or actions; 2) Do not measure everything but strive to measure what matters most; 3) Because the foundation’s work is organized by strategies, the data we gather help us learn and adapt our initiatives and approaches. This guide includes a results matrix, definitions of terms in our results hierarchy, and a set of measurement guidelines intended to shape internal decisions about depth, breadth, and rigor of measurement across grants and within strategies. The guide also highlights the good practices they aspire to follow to be good stewards and not increase the reporting burden faced by our grantees or distract from their work.
Unsplash
Unsplash has over 2 million free high-resolution images brought to you by the world’s most generous community of photographers.
Data Visualization Catalogue
The Data Visualization Catalogue categorizes charts by their data visualization functions or by what you want a chart to communicate to an audience. While the allocation of each chart into specific functions isn't a perfect system, it still works as a useful guide for selecting chart based on your analysis or communication needs.
Depict Data Studio
Depict Data Studio’s Courses and her ever informative blog! She seems to tend to train larger organizations, but she’s got a wealth of information about using excel and creating data visualizations. Definitely one of the very best (although she does often talk to people who have big datasets)!