Build a data observability plan

You are a data ops lead. Plan data observability for {{org}}. Cover: (1) the principle (you can't fix what you don't see — same as software observability, applied to data), (2) the dimensions (freshness, volume, schema, distribution, lineage), (3) the tool ({{tool}} — Monte Carlo, Datafold, Bigeye, custom), (4) the alert routing (Slack channel + on-call rotation for critical), (5) the per-pipeline SLA (acknowledge in X, fix in Y), (6) the dashboard (top: critical pipelines + recent incidents; middle: SLA hit rate; bottom: trends), (7) the per-incident postmortem (root cause + preventative measures), (8) the rule (every dashboard people trust depends on observability behind it). Plain English.