Revenue Impact
of Data Quality
Situation
Your organization generates $900M in annual revenue with 370 people across 3 revenue-critical departments. These teams drive revenue through direct customer engagement, prospect outreach, and retention programs — activities that depend on accessible, accurate data at every touchpoint.
Complication
Under a Research-Based impact scenario, data quality gaps are estimated to drain $16.5M annually — roughly 1.8% of revenue — in preventable busywork, rework, and missed opportunities. This silent tax compounds across departments as teams independently build workarounds for the same underlying data failures. 1
Cause
Sales teams lose an estimated 32% of productive capacity to manual data entry, record deduplication, and prospect research that better data infrastructure would eliminate 2. Marketing loses roughly 36% of campaign efficiency to audience misalignment, flawed segmentation, and redundant tech-stack reconciliation 3. Customer Success teams absorb 22% in avoidable effort from incomplete account histories, fragmented handoff notes, and context gaps during escalations 4.
Resolution
Under a balanced recovery model, an estimated $12.4M is recoverable from current losses. That represents a projected 48.5x return on your $250K investment — a compelling case for strategic data quality remediation. 5