Stop Making Million-Euro Decisions on Corrupted Data.
A forensic diagnostic of your core operational dataset. We map hidden schema drifts, duplicate identities, broken attribution timestamps, and currency discrepancies — with an exact financial exposure calculation and remediation blueprint.
Same contact under 3 email variations, skewing LTV cohort calculations by +34%.
Deals marked as Closed-Won with null closed_at date or negative transaction amounts.
25% of organic/paid leads lack UTM channel, rendering CAC per channel invalid.
The 6 Forensic Audit Checkpoints
We run your files through 42 automated and analyst-verified verification rules across structure, identity, time, and cross-system alignment.
Completeness & Null Topology
Detecting missing values that silently drop records from aggregations and revenue calculations.
What You Receive in Your Audit Package
Not an abstract slide deck. You get an undisputed diagnostic deliverable with concrete row IDs and engineering instructions.
The Data Trust Scorecard & Executive Brief
An unvarnished assessment for founders and executives: an aggregate 0–100 data reliability index, breakdown by department, and an estimate of financial exposure caused by corrupt figures.
The Forensic Anomaly & Defect Catalog
Every single error identified with precise row IDs, category tags, root-cause hypotheses, and severity ratings (Critical, High, Moderate) so your tech team can locate them instantly.
Step-by-Step Engineering Remediation Playbook
We don’t just point out problems. We tell you the exact sequence to fix them: database constraint updates, deduping logic, webhook reconciliation scripts, and validation rules.
Cleaned Sample Dataset & Schema Blueprint
A corrected snapshot showing what your dataset looks like once normalized, paired with an optimized relational structure ready for Power BI, Tableau, or Looker.
When An Audit Is Non-Negotiable
These 4 operational milestones carry severe financial penalties if executed on unverified source data.
Before Deploying Power BI, Tableau or Looker
Building visualizations on uncleaned data guarantees expensive rework. BI tools do not fix dirty data; they amplify its errors to the entire executive board.
Department Numbers Contradict Each Other
When Marketing claims 300 conversions, Sales records 210 deals, and payment systems report 175 payments, leadership cannot agree on unit economics. We trace and resolve the delta.
System Migration (CRM, ERP or E-commerce)
Migrating legacy spreadsheets and broken schemas into a new Salesforce or HubSpot setup carries all past garbage into your expensive new architecture.
Fundraising, M&A or Due Diligence Audit
Investors and acquirers demand verified MRR, retention cohorts, and unit margins. Unreconciled customer records immediately trigger valuation haircuts.
Ready to verify your primary dataset?
Send us one raw export (CRM leads, e-commerce orders, ad spend table, or bank statement). We return the complete Data Trust Scorecard, Anomaly Catalog, and Remediation Playbook within 3–5 business days.
- ✓ Single dataset audited up to 250,000 records
- ✓ Full 42-rule integrity evaluation & financial exposure estimate
- ✓ Data securely purged 30 days post-delivery or immediately on request
- ✓ Fixed price of €100 (excl. VAT) · Zero hidden hourly charges
Unsure if your numbers can be trusted?
Upload one export for forensic inspection. If your data is 100% clean and pristine, we'll verify it. If it has leaks, we'll show you exactly how to plug them.