Our Nonprofit Datafolk Club gathered in June to discuss challenges and solutions for collecting data in nonprofits.
Read MoreOur Nonprofit Datafolk Club gathered in May to talk about challenges and solutions when using statistics in nonprofits. Read our writeup of the discussion here.
Read MoreOur Nonprofit Datafolk Club gathered in April to share tales of data projects that didn't go to plan. To keep it a safe space for people to share their honest experiences, we didn’t record any of the details, but we did note down some recurring themes.
Read MoreOur Nonprofit Datafolk Club gathered in March to wrangle with the challenges of communicating data accessibly. The group was full of tips and experiences that have come together in this essential guide on accessible data communication.
Read MoreOur Nonprofit Datafolk Club gathered in February to discuss impact measurement in nonprofits. During the discussion, many had useful tips and advice to share. Here’s a writeup of the discussion.
Read MoreRecently, our Nonprofit Datafolk Club gathered to discuss AI in nonprofits. What are people using it for? What are the concerns about using it? What are the barriers? Here’s a writeup of the discussion.
Read MoreFollowing recent analysis by the team into data roles and salaries in the nonprofit sector, we summarise some of the big issues nonprofits need to consider when thinking about how to resource data roles.
Read MoreIn June’s Nonprofit Datafolk Club workshop, we discussed the topic of data storage with an excellent group of data folk. Read Hannah’s writeup for a summary of the discussion about how nonprofits store data and wishes for the future.
Read MoreIn September, our Nonprofit Datafolk Club spent some time unpacking the results of our report, released in July - State of the Sector: Data maturity in the Nonprofit Sector 2023. Here’s some of the questions and reflections they had.
Read MoreIn May, our Datafolk Club focus was on pursuing a data career in the nonprofit sector, and we had some excellent discussions with folk ranging from data analysts and scientists to managers and heads of data. Hannah Khwaja shares the key learning points.
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