Applying Probabilistic Forecasting to Data Engineering Teams

In this episode of Beyond the Build, Colleen Johnson and Jeremy Duvall explore probabilistic forecasting and how it can help teams bring more realistic, risk-aware planning to software and data engineering work. Instead of relying on single-point estimates, they discuss how ranges and confidence levels can better account for the uncertainty that comes with delivering complex work. They also touch on different approaches teams can use to get started with probabilistic forecasting and make more informed decisions about delivery. 📱 Follow 7Factor on LinkedIn:   / 7factor-software   About 7Factor 7Factor is a premier software consulting firm known for delivering high-quality, scalable solutions through expert polyglot engineers and a human-centric approach. We specialize in customized solutions, cloud migrations, and secure remote work technologies, catering to industries like healthcare, financial services, and education. Our agile methodologies, transparent communication, and advanced predictive forecasting ensure precise, reliable project management, eliminating surprises and optimizing outcomes to meet your needs with excellence. We offer public/private cloud-native execution and maintenance of quality-first solutions. Get in touch: https://www.7factor.io/contact/