What Data Teams Can Learn About Readiness

Every four years, the Olympic Games exemplify the culmination of extensive preparation, a principle that parallels the readiness required by data teams in business environments. Just as athletes meticulously train to ensure flawless performance, data teams must continuously refine their infrastructure to provide immediate insights when needed, avoiding last-minute scrambles. A robust data strategy involves proactive, iterative modernization rather than reactive, wholesale changes, ensuring data quality and governance are in place before launching AI initiatives. Starburst offers a data platform designed for analytic and AI workloads, enabling teams to access historical data, maintain high-quality inputs for AI, and iteratively evolve their architecture, thereby avoiding the pitfalls of urgent migrations.