Data Capacity Resource Hub
Building capacity, clarity, and confidence together
This Data Capacity Resource Hub is a practical starting point for community organizations looking to use data more effectively. It’s designed for teams who feel stretched by reporting, disconnected tools, or limited capacity and want clearer workflows and data that supports better decisions and community outcomes.
What is data capacity?
Data capacity refers to an organization’s ability to consistently collect, manage, analyze, and use data to inform decisions and improve outcomes.
For community organizations, building data capacity isn’t about more dashboards or reports — it’s about having the right systems, skills, and processes so data supports everyday work instead of slowing teams down.
Who is this resource hub for?
This hub is designed for organizations who are:
Balancing service delivery with reporting requirements
Managing multiple data systems and stakeholders
Feeling stretched by one-off data requests
Wanting better insights without burning out their teams
Featured Resources
Building data capacity without burning out
A practical guide to reducing data overload, clarifying workflows, and building practices your team can actually maintain.
Reclaim time with more sustainable data practices
A real-world conversation on moving from reactive reporting to clearer processes that give teams time back.
Share your experience with data work
Help us better understand how community teams experience data work today, so we can build more relevant tools and guidance.
What we're hearing from community teams
We asked nonprofit and local government teams about their day-to-day data work, and a few consistent themes emerged.
Data work is mostly reactive
Many teams shared that data work is driven by incoming requests and reporting needs, with little time to step back and set priorities.
10-40 hours a week go to manual tasks
Teams reported spending 10 to 40 hours each week cleaning data, formatting reports, or re-running the same analyses.
Capacity gaps aren't about tools
Even organizations with dedicated data staff said their biggest gaps are around people, process, and how data is interpreted and shared
Read more on building data capacity
Our latest blog posts explore common data capacity challenges and share practical steps community teams can take with limited time and resources.
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The Data Capacity Crisis Explained: A Q&A with Stephen Hardy
