Your organisation constantly collects measurable data that you need to understand in order to make decisions, whether it’s about donor churn, service application rates, or the outcomes you achieve.

This vital information about your work can sit gathering dust if your organisation doesn’t have the specialised skills and tools to do the analysis, and to make sure your team can use the results.

But AI tools such as Claude, Microsoft Copilot, and Gemini now let you ask them about data sets and construct reports in real time. Plug some data in, ask for answers, and get back fantastic visualisations, clear analyses, and summarised statistics.

It seems too good to be true. So… is it? How well do these tools work? What are their limits? Will the results be accurate? Will data be secure? How can you be confident in the results?

Learn from real-life examples that showcase how it can work, when it doesn’t, and issues to look out for. You’ll get practical knowledge of tools for using AI-assisted analysis in your work, while making sure your data is secure and your methods are transparent.

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