The organization currently relies on ad-hoc spreadsheets for reporting, resulting in manual work, inconsistent metrics, and low trust in data. The goal is to transition stakeholders to reliable BI dashboards with clear metrics, governance, and sustainable workflows. The workflow prioritizes empathy for existing processes while guiding the shift to structured, scalable reporting.

The workflow helps a data engineer evaluate the downstream impact of a proposed schema change. It identifies which consumers may break, classifies the type of change, recommends mitigation strategies, and produces a communication and cutover plan. The goal is to ensure safe, predictable data migrations with minimal disruption.

Non-technical stakeholders often struggle to understand where a critical KPI originates, how it is calculated, and what its limitations are. This workflow produces a clear, friendly, and accessible KPI lineage explanation. It converts technical inputs into a narrative, a source/transform table, an FAQ, and ownership details—all while avoiding proprietary names and keeping the explanation concise.