Data Sources & Verification Process

SICCODE.com sources, normalizes, and verifies SIC & NAICS business records using governed validation, expert review pathways, and versioned change tracking. This creates audit-ready, explainable industry classification inputs for analytics, AI modeling, market intelligence, and compliance workflows.

Updated: 2026 · Reviewed By: SICCODE.com Industry Classification Review Team · Maintained By: SICCODE.com Data Governance Desk

Public reference & independence disclosure
  • Reference access: SICCODE.com provides public SIC/NAICS definitions and lookup guidance.
  • Services boundary: paid services apply the published framework to customer records; they do not change official standards.
  • Independence: SICCODE.com is independent and not affiliated with official SIC/NAICS code decisions.
Verification Snapshot
Coverage 20M+ U.S. establishments
Accuracy 96.8% verified benchmark
Governance Review pathways + versioning
Auditability Lineage + change logs
Contents

Data Sources & Verification Process

SICCODE.com delivers governed industry classification by integrating verified datasets spanning federal, state, commercial, and proprietary registries. This scale—combined with a disciplined verification pipeline and documented review pathways—supports consistent, defensible SIC and NAICS assignments for decision-critical analytics, compliance, and AI systems.

Behind each record is a multi-stage pipeline that aggregates, normalizes, and validates entity signals using authoritative public sources, audited commercial data, and governed extensions. Updates are managed using versioned practices to preserve longitudinal comparability. For end-to-end workflow details, see our Verification Methodology.

Primary Data Sources

  • U.S. federal data: filings, datasets, and registries used as baseline reference inputs and integrity anchors.
  • State-level registrations: incorporation and licensing feeds used to improve entity coverage and recency signals.
  • Commercial data partners: audited vendor datasets used to enrich firmographics and operating indicators.
  • Proprietary contributions: governed mappings for emerging and hybrid industries, including SIC 6-Digit Codes.

Sourcing rule (material claims): Where an attribute materially impacts downstream use (compliance, underwriting, eligibility, model risk), SICCODE.com prioritizes cross-source consistency and governed verification thresholds over single-source assertions.

Normalization & Data Integration

Incoming inputs are standardized into a unified schema. Entity names, addresses, and activity descriptions are normalized using controlled vocabularies and entity-resolution techniques. Each record receives a persistent identifier to preserve lineage from source intake through verification and controlled updates.

Verification Framework

  1. Rule-based validation: inclusion/exclusion logic enforces alignment with official SIC and NAICS structures.
  2. Machine-assisted scoring: models and heuristics rank candidate codes using evidence signals and confidence patterns.
  3. Review pathways: analysts adjudicate edge cases and document rationale under Editorial & Neutrality Standards.
  4. Version control: updates are recorded with change context (and where applicable) reviewer attribution for audit tracking.

Continuous Quality Assurance

  • Quality audits benchmark accuracy, coverage, and stability using internal QA and exception review.
  • Rolling updates incorporate new formations and operational changes while preserving traceability.
  • Versioned change logs support controlled adoption in BI, CRM, and regulated workflows.

Verification Metrics

  • Classification accuracy: 96.8% (validated benchmark)
  • Retention accuracy: 99.3% for established entities
  • Initial confidence for new records: 92%+ prior to exception review

Metrics reflect internal audits conducted under SICCODE.com’s verification and QA cycle. For benchmarking comparisons, see Data Accuracy Benchmarks: SICCODE vs Generic Providers.

Audit-Ready Evidence Outputs

For procurement, model governance, and regulated programs, verified datasets may be accompanied by audit-oriented documentation depending on product context and licensing scope. Typical evidence outputs include:

  • Record-level lineage attributes (source category, timestamps, update context)
  • Change logs or change files for comparability across releases
  • Governance documentation describing verification rules and escalation pathways
  • Standards alignment guidance for interpreting SIC/NAICS assignments

Applications in Analytics, AI & Compliance

Verified classification data supports CRM enrichment, segmentation, underwriting analytics, compliance validation, and ML training datasets. With documented lineage and governed update practices, SICCODE.com supports transparent, explainable, and audit-ready pipelines. For deeper context, see How Verified Data Supports AI, Analytics, and Market Intelligence.

Verified source & integrity disclosure: This page is maintained by the SICCODE.com Data Governance Desk and reviewed by the Industry Classification Review Team. Methods and accuracy framing are documented in Verification Methodology and the Data Verification Policy. Independent validation is available via Citations & Academic Recognition.

FAQ

  • What counts as a “verified” business record on SICCODE.com?
    A verified record is produced through governed sourcing and validation workflows, with review pathways for exceptions and versioned change tracking to preserve auditability and comparability.
  • Do you rely on one source for industry codes?
    No. SICCODE.com prioritizes cross-source consistency and applies stricter verification thresholds when an attribute or classification is material to compliance, underwriting, eligibility, or model governance use.
  • How do change logs help compliance and analytics teams?
    Change logs (or change files) show what changed between releases, supporting audit trails, longitudinal comparability, and controlled adoption of updates in downstream systems.

For enterprise licensing inquiries related to verification documentation and governed delivery formats, contact the SICCODE.com Data Governance Desk.