Organizations need to deliver analytics faster without compromising reliability. Traditional workflow development is often slow to progress and can increase the risk of errors. This session demonstrates how containerization, Git, and automated pipelines deployed to containerized environments transform the development lifecycle. Attendees will learn how local environments using Python, containers, and database management tools can closely replicate production—enabling rapid testing, consistent data handling, and fewer deployment issues. The session shows how this approach supports faster iteration, stronger version control, and reduced downtime, helping teams deliver SAS solutions with greater speed and confidence in today’s fast-paced environment.
What if a bank could cut deployment time from over a year to just weeks—while actually reducing risk? In this session, Magnus from DNB reveals how moving to SAS Viya unlocked a modern development pipeline powered by Git, containers, and automated testing. You’ll get a behind-the-scenes look at how local development, CI/CD, and database versioning transformed slow, error-prone processes into fast, reliable workflows. If you’re curious how disciplined engineering practices can revolutionize decisioning at scale, this is a story worth watching.
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