Five Things I’ve Learned From Building Analytics Stacks at J.P. Morgan and Fivetran

The text discusses best practices for managing and utilizing data effectively in both large enterprises and startups. It covers building a modern data stack, making the first few data hires, what to do in the first 180 days of implementing a data strategy, running a data team as an R&D team, and achieving success with systems thinking approach. The author emphasizes the importance of understanding the organization's business model, constraints, and incentives when approaching data management. They also highlight the significance of aligning foundational metrics with leadership, building a centralized data team, working with peer teams, investing in engineering principles, and adopting a customer-centric mentality for the analytics team.