A humanitarian foundation focused on women’s health faced challenges in identifying the key factors influencing contraceptive adoption across different markets and demographics. The initiative aimed to understand both product-related and social drivers behind women’s choices and extract actionable insights from diverse data sources. However, integrating internal survey data with investment documents proved difficult, limiting the ability to answer critical questions about common decision factors and those most affecting adoption or rejection. The organization needed a system capable of connecting and analyzing complex, fragmented data to generate meaningful insights and support more effective, data-driven decisions.

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