Direct-to-consumer and e-commerce companies face significant challenges in managing their data due to the proliferation of disparate systems, similar to the complex data infrastructure of industry giants like McDonald's. With mission-critical data scattered across numerous platforms, these companies struggle to create a unified customer view, often resulting in conflicting or incomplete data interpretations. Solutions like Fivetran, Snowflake, and Latticework Insights offer modern data stack advancements that simplify data retrieval, storage, and analysis, enabling businesses to derive actionable insights. The integration of these technologies is essential for addressing issues such as attribution, lifetime value versus acquisition cost analysis, and consolidated data visualization, ultimately allowing companies to transition from manual, fragmented approaches to streamlined, data-driven decision-making.