In this episode of FP&A Today, host Glenn Hopper interviews Shifra Isaacs, a developer relations advocate at Ascend.io, to explore the intersection of data science and finance, particularly for FP&A professionals. Shifra shares her background in finance and business analytics, discussing how data science methods, such as regression, classification, and clustering, can enhance financial modeling, risk analysis, and variance analysis. The conversation covers the data science lifecycle, the importance of data storytelling, and the potential of generative AI to make data science more accessible. They also discuss the need for finance professionals to develop statistical and AI literacy to effectively utilize and interpret data-driven insights, emphasizing practical application and stakeholder management over deep coding expertise.
Sign in to continue reading, translating and more.
Continue