Two reviewers may interpret a rule differently, producing unreliable results and uneven enforcement.
Enterprises maintain hundreds of workflows, which may contain thousands of reusable objects. Manual checks cannot keep pace.
Quality must be validated before merging or deploying. Excel cannot participate in automated delivery pipelines.
No history, benchmarks, or ability to compare teams, vendors, projects, or releases.
Regulators expect structured, repeatable assessments—not subjective spreadsheets.
Developers wait for manual reviews, causing bottlenecks and context switching.
New features, new transformation patterns, and new cloud services require rules that evolve faster than spreadsheets can.
Automation is the only sustainable solution for large-scale data engineering environments.