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Reducing Donor Churn for a US-Based NPO: A Predictive Approach Using Microsoft Fabric
About the Client:
The client is a US-based nonprofit organization focused on donor engagement and fundraising. Their mission is to build long-term relationships with donors while ensuring a stable funding base for their initiatives. The organization uses data-driven insights to optimize donor retention and minimize churn while enhancing donor loyalty.
Challenges:
Donor data scattered across multiple tables, complicating unified analysis.
Inconsistent or incomplete data hindering accurate churn predictions.
Difficulty in defining KPIs to identify donor churn indicators.
Suboptimal machine learning performance due to challenges in data preparation, algorithms, and model tuning.
Solution (Teaser):
The comprehensive solution involved Microsoft Fabric components like Synapse Data Science, Data Factory, and Power BI. Data was centralized, cleansed, and analyzed for predicting donor churn through machine learning models and interactive dashboards.
Want to learn how this predictive approach optimized donor retention?
Beyond Key's Power BI finance dashboard helped Breg consolidate and analyze financial data, enabling real-time monitoring and informed decision-making.
Beyond Key implemented Power BI-based Finance Dashboards for a leading Investment Advisory company to analyze financial health and improve decision-making.
Beyond Key's Power BI finance dashboard helped Breg consolidate and analyze financial data, enabling real-time monitoring and informed decision-making.
Beyond Key implemented Power BI-based Finance Dashboards for a leading Investment Advisory company to analyze financial health and improve decision-making.
Smart home automation device company leverages wearable devices, AI and voice recognition technology to control home doors with voice, anywhere, anytime.