AI for Fundraising

Working in partnership with not-for-profits to utilise AI for increased fundraising insights, analysis and growth with the help of co-funding from Microsoft.

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Entrusted by charitable organisations to make their money go further with the Microsoft Cloud

Leverage AI, Empower Fundraising, Help Communities

Maximise your Fundraising potential with Predictive Insights

Unlock the power of predictive analytics with our cutting-edge fundraising prediction solution, designed to revolutionise your donor engagement strategy. Leveraging the robust capabilities of Azure Machine Learning, our solution offers sophisticated insights to help anticipate the volume of donations from potential donors based on their unique characteristics.

Intelligent Donor Analysis

By integrating Azure’s advanced machine learning algorithms, our solution analyses historical data and donor profiles to identify patterns and predict future giving behaviors. This empowers your fundraising team to focus efforts on the most promising prospects, ensuring a more targeted and effective fundraising approach.

Data-Driven Decision Making

Our intuitive solution transforms complex data into actionable insights, enabling you to craft personalised outreach campaigns that resonate with individual donors. With our predictive analytics, you can optimize your fundraising initiatives, enhance donor retention, and significantly increase the efficiency of your fundraising operations.

Creating a file and data infrastructure to enable Concern Worldwides employees to work productively and securely from anywhere

Secure, Scalable, and Seamless

Built on Azure’s secure cloud infrastructure, our solution guarantees data protection, scalability to match your growth, and seamless integration with your existing systems. Embrace the future of fundraising with our Azure Machine Learning-powered prediction solution, and turn data into donations.

What does it cover?

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Azure ML Configuration and Integration

Focuses on setting up and organising Azure ML Studio workspaces, establishing efficient data handling processes, ensuring robust testing of our models, and maintaining reliable connections data sources.

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Data Gathering and Preparation

Gives a well-organised, clean, and enriched dataset that serves as a robust foundation for subsequent analysis and decision-making processes.

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Model Development and Testing

Provides a fully functional model that can predict outcomes or make decisions based on your data and work to improve donation efficiency.

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