8-2: Data Quality ROI
Quantify the financial damage of dirty data and calculate the remediation ROI across the Five Dimensions of Quality.
🎯 What You'll Learn
- ✓ Calculate lost revenue via data decay
- ✓ Establish Data Quality firewalls
- ✓ Automate anomaly detection
The Five Dimensions of Data Quality
Dirty data destroys revenue. If a CRM is littered with duplicate accounts and dead emails, marketing spend yields zero ROI, and sales reps burn 20% of their day verifying contact information.
Data Quality is measured across five economic dimensions: Accuracy, Completeness, Consistency, Timeliness, and Validity. A failure in any dimension carries a specific financial penalty.
Remediating data quality upstream (at the point of entry) costs $1 per record. Remediating it in the warehouse costs $10. Addressing it after it has ruined an executive board report costs thousands in lost trust and manual reconciliations.
The escalating cost of fixing dirty data: $1 at entry, $10 at processing, $100 after impact.
The percentage of a sales rep's day wasted investigating inaccurate system data.
Implement a Data Quality Firewall at the point of ingestion.
Action Items
According to the "1-10-100 Rule" of Data Quality, what is the most cost-effective way to handle dirty data?
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Executive Dashboards
Generate deterministic, board-ready financial artifacts to justify CAPEX workflows immediately to your CFO.
Defensible Economics
Replace heuristic guesswork with hard mathematical frameworks for build-vs-buy and SLA penalty negotiations.
3-Step Playbooks
Actionable remediation templates attached to every module to neutralize friction and drive instant deployment velocity.
Engineering Intelligence Awaiting Extraction
No generic advice. No filler. Just uncompromising architectural truths and unit economic calculators.
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Module Syllabus
Lesson 1: The Five Dimensions of Data Quality
Dirty data destroys revenue. If a CRM is littered with duplicate accounts and dead emails, marketing spend yields zero ROI, and sales reps burn 20% of their day verifying contact information.Data Quality is measured across five economic dimensions: Accuracy, Completeness, Consistency, Timeliness, and Validity. A failure in any dimension carries a specific financial penalty.Remediating data quality upstream (at the point of entry) costs $1 per record. Remediating it in the warehouse costs $10. Addressing it after it has ruined an executive board report costs thousands in lost trust and manual reconciliations.
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