Data is an asset. Like software code, it is a valuable organizational resource that must be stored, protected, governed, and leveraged. It retains value over time, drives insights, and requires strong governance. As organizations pivot toward data-driven decision-making, engineering teams and project managers accustomed to software development are finding themselves at the helm of data projects, facing unfamiliar territory.
This article outlines common points of failure and challenges that Data Project managers and engineering teams face when transitioning from traditional software engineering to leading Agile data projects. It demonstrates how Agile principles can help navigate and mitigate these challenges.