The issue between product and data teams arises from a fundamental tradeoff between flexibility, performance, and cost-effectiveness in large-scale data. The data team must prioritize these factors based on their expertise and resources, which may not align with the product team's needs. The root of the problem lies in who makes this tradeoff, with the data team empowered to make decisions that sacrifice flexibility for cost-effectiveness, while the product team is not equipped to make such a decision due to limited resources. To solve this issue, organizations must empower product development teams to make the tradeoff they need to build their product, which Propel aims to achieve by simplifying data requirements, scaling compute, and optimizing common queries.