Data Engineering Solutions
Data Engineering Use Case in the Charity Sector
Predictive Analysis in Cause Marketing
The company provides modeling and segmentation services to improve fundraising appeals efficiency and is personalizing campaigns that present higher donor interactions and outcomes.
- With over 140 million donations and over 40 million individuals, the predictive modeling demands were mounting.
- Provide more effective and accurate predictive models to differentiate itself in a competitive market.
- Coming to their rescue by providing an automated, highly accurate, fast, and cost-effective predictive modeling solution, powered by AWS, their team experienced a 10% improvement in accuracy right out of the box with no fine-tuning.
- One day for anybody in the organization to build and test a new model, down from one to two weeks before.
- Consistent and accurate campaigns with a deeper understanding of the science.