Lie #4 — You need to hire to close the skills gap

Businesses striving to become data-driven often mistakenly believe that bridging the skills gap requires hiring more engineering talent or upskilling their current workforce, but this approach is costly and ineffective. Many companies have realized they cannot compete with high salary offers for top engineering talent, leading them to focus on internal upskilling, which is challenging and resource-intensive. Instead, technology can serve as a more efficient bridge between analysts and data, enabling powerful AI and analytics capabilities through user-friendly interfaces that automate much of the necessary work. This approach allows IT teams to focus on higher-value tasks, while ensuring accurate data is fed into models, ultimately making businesses more data-driven without the need for extensive new hires. Starburst positions itself as a solution to this challenge by providing a platform that supports self-service analytics, allowing companies to connect analysts and engineers more cost-effectively and efficiently.