Data Accuracy Benchmarks: SICCODE vs Generic Providers

Why Accuracy Matters for Analytics, AI & Compliance

Inaccurate industry classification creates downstream errors in market analysis, segmentation, forecasting, AML/KYC modeling, and regulatory reporting. Organizations relying on self-reported or keyword-derived codes often experience noisy cohorts, misaligned peer groups, unstable dashboards, and increased compliance risk.

Verified codes eliminate these issues by providing stable, evidence-backed, regulator-ready industry labels. Learn how verified classification works in Our Verification Methodology.

SICCODE.com vs Generic Providers

• SICCODE.com: Dual-source validation, ML-assisted predictions, human-reviewed assignments, rationale metadata, lineage logs, and version-controlled updates.
• Generic Providers: Self-reported or scraped keywords, inconsistent rollups, limited review, and no visibility into how or when a code was assigned.

Data Quality Benchmark Table

*Generic = typical scraped or directory-based providers without formal verification.

How Our Benchmarking Methodology Works

1. Regulatory-driven definitions: Official SIC/NAICS rules encoded as structured eligibility logic. Details at Our Verification Methodology.
2. Feature extraction: Text, entity, network, and geospatial features harvested from normalized sources.
3. ML + human review: Models propose candidates; senior analysts adjudicate edge cases. Meet the team at About Our Data Team.
4. Versioning & auditability: Each assignment contains timestamped rationale, reviewer metadata, and delta logs. Framework explained in Governance Standards.

Common Issues in Generic Databases

• Keyword bias: Marketing content incorrectly mapped to unrelated industries.
• Secondary product confusion: Minor product lines override true primary activity.
• HQ/branch duplication: Duplicate entities inflate counts and distort targeting.
• Unstable rollups: Non-versioned updates break time-series continuity.

Benefits by Use Case

• AI & Analytics: Higher signal quality, cleaner cohorts, stronger model performance.
• Marketing & Segmentation: Precise audience selection and improved campaign lift. Explore use cases in Marketing ROI Improvements .
• Compliance & Risk: Versioned lineage, rationale documentation, and regulator-ready evidence.

What Sets SICCODE Apart

• Verified, dual-source-confirmed SIC/NAICS classifications
• Explainable rationale and versioning for every record
• Stable rollups for longitudinal and cross-entity analysis
• CRM- and BI-ready data architecture with clean, normalized identifiers