For each step, record how long work is actively handled versus waiting, how many items pass through, and how often defects occur. Note approval durations, contract redlines, billing exceptions, and dispute drivers. Pull data from CRM, CPQ, contract repositories, ERP, billing, and collections. Even a modest sample reveals patterns: late-stage legal reviews, unclear entitlements, and invoice mismatches commonly dominate delay. Validating with multiple sources builds confidence and uncovers discrepancies worth fixing at their origin.
For each step, record how long work is actively handled versus waiting, how many items pass through, and how often defects occur. Note approval durations, contract redlines, billing exceptions, and dispute drivers. Pull data from CRM, CPQ, contract repositories, ERP, billing, and collections. Even a modest sample reveals patterns: late-stage legal reviews, unclear entitlements, and invoice mismatches commonly dominate delay. Validating with multiple sources builds confidence and uncovers discrepancies worth fixing at their origin.
For each step, record how long work is actively handled versus waiting, how many items pass through, and how often defects occur. Note approval durations, contract redlines, billing exceptions, and dispute drivers. Pull data from CRM, CPQ, contract repositories, ERP, billing, and collections. Even a modest sample reveals patterns: late-stage legal reviews, unclear entitlements, and invoice mismatches commonly dominate delay. Validating with multiple sources builds confidence and uncovers discrepancies worth fixing at their origin.