Data Sources & Verification Process

Data Sources & Verification Process

Contents

Overview Primary Data Sources Normalization & Integration Verification Framework Continuous Quality Assurance Verification Metrics Audit-Ready Evidence Outputs Applications in Analytics, AI & Compliance Integrity Disclosure Cluster Links FAQ

Overview

SICCODE.com delivers governed business classification by integrating verified datasets spanning federal, state, commercial, and proprietary registries. This scale—combined with a disciplined verification pipeline and expert review—supports consistent, defensible SIC and NAICS assignments for reliable inputs into analytics, compliance, and AI systems.

Behind every verified code is a multi-stage data pipeline that aggregates, normalizes, and validates records using authoritative public sources, audited commercial data, and proprietary classification extensions. Records are supported by automated quality checks, expert QA, and a versioned change history. For the end-to-end workflow and lineage approach, see our Verification Methodology.

Primary Data Sources

• U.S. federal data: filings, datasets, and registries that establish national baselines and reference points.
• State-level registrations: incorporation and licensing feeds used to improve entity coverage and recency.
• Commercial data partners: audited directories and vendor datasets used to enrich firmographics and operating signals.
• Proprietary contributions: extended mappings that support emerging and hybrid industries, including SIC 6-Digit Codes.

Normalization & Data Integration

Incoming data is 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 original source to verified classification and to support controlled updates over time.

Verification Framework

1. Rule-based validation: inclusion/exclusion logic enforces consistency with official SIC and NAICS structures.
2. Machine-assisted scoring: models and heuristics rank candidate codes using evidence signals and confidence patterns.
3. Expert review: classification analysts adjudicate edge cases and document rationale. Independence and balance are governed by Editorial & Neutrality Standards.
4. Version control: changes are recorded with update context, rationale, and (where applicable) reviewer attribution for audit tracking.

Continuous Quality Assurance

• Quarterly audits benchmark accuracy, coverage, and data freshness.
• Rolling updates integrate new business formations and remove closed entities.
• Versioned change logs maintain traceability for enterprise subscribers and governed programs.

Verification Metrics

• Classification accuracy: 96.8% (validated benchmark)
• Retention accuracy: 99.3% for established entities
• Initial confidence for new records: 92%+ prior to expert 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 powers CRM enrichment, credit modeling, compliance validation, segmentation, and AI training datasets. With documented lineage and accuracy scoring, SICCODE.com supports transparent, explainable, and regulator-ready pipelines. For deeper context, see How Verified Data Supports AI, Analytics, and Market Intelligence.

For compliance documentation or enterprise licensing inquiries, contact the SICCODE.com Data Governance Desk.