Your Data Team Is Failing If They're More Focused On Code Than Impact

Data engineers and analytics engineers often face challenges in ensuring their work impacts business decisions, as their meticulous data models can remain unused if not properly aligned with business needs. The disconnect stems from an overemphasis on perfecting data pipelines and a misalignment between technical and business teams, with business users often underestimated and labeled as "non-technical." The key to bridging this gap lies in empowering both "builders," who innovate and automate processes, and "doers," who tailor solutions to their specific needs. Sigma, a data platform, facilitates this by providing open access to data and enabling users to create and customize workbooks and dashboards, thus encouraging collaboration and reducing dependency on centralized data teams. By embracing a self-service model, companies can leverage the expertise of both builders and doers, allowing data to drive impactful business decisions and enhancing the overall efficiency and effectiveness of the data team’s work.