Resources

Learn how to improve your data practices, make informed decisions, and enhance your impact.

What is fractional data support, and how can it help your nonprofit?
Learn about what fractional data services are and the reasons nonprofits have come to us for this kind of support.
Why qualitative data matters
Quantitative data does not always explain how to fix emerging problems. That’s where qualitative data comes in.
What is statistical significance and does your project need it?
When nonprofit leaders come to me with project ideas, one of their concerns is ensuring the research is statistically significant. However, there's often confusion about what this phrase really means.

Upcoming Events

June 19th, 9:30-11:30 AM
TDC Bi-Weekly Office Hours

Free 30-minute 1:1 sessions for nonprofit professionals who need help figuring out sticky data collection, analysis, and reporting challenges. Reserve your slot using the link below. Hope to see you there!

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June 5th, 9:30-11:30 AM
TDC Bi-Weekly Office Hours

Free 30-minute 1:1 sessions for nonprofit professionals who need help figuring out sticky data collection, analysis, and reporting challenges. Reserve your slot using the link below. Hope to see you there!

Learn More
May 22nd, 9:30-11:30 AM
TDC Bi-Weekly Office Hours

Free 30-minute 1:1 sessions for nonprofit professionals who need help figuring out sticky data collection, analysis, and reporting challenges. Reserve your slot using the link below. Hope to see you there!

Learn More

Resources in

Data Analysis

What is fractional data support, and how can it help your nonprofit?
Learn about what fractional data services are and the reasons nonprofits have come to us for this kind of support.
Why qualitative data matters
Quantitative data does not always explain how to fix emerging problems. That’s where qualitative data comes in.
What is statistical significance and does your project need it?
When nonprofit leaders come to me with project ideas, one of their concerns is ensuring the research is statistically significant. However, there's often confusion about what this phrase really means.
illustration of two people looking through various data models

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