About Our Data Team
The SICCODE Data Team ensures every industry classification, business record, and dataset on SICCODE.com meets the highest standards of accuracy, verification, and transparency. We specialize in verified SIC and NAICS classification for U.S. and international markets, with rigorous lineage and audit practices designed for analytics, compliance, and AI use cases.
Who We Are (Role-Based Expertise)
Our analysts are U.S.-based professionals with advanced academic backgrounds in Economics, Finance, Quantitative Management, Business Strategy, International Marketing, Biology, Marketing, and Information Systems. Many hold master’s degrees in these disciplines and have led or contributed to enterprise data initiatives across classification, enrichment, and governance.
"Accurate business data starts with accountability for every decision and source. Our team's combination of human expertise, multi-source validation, and continuous audit means our clients can trust SICCODE for critical analytics, compliance, and AI projects."
— Brian Kelly, Director of Business Data
| Role | Area of Expertise | Experience | Core Responsibility |
|---|---|---|---|
| Director of Business Data | SIC/NAICS systems, database management, list building | 15+ years | Oversees the Data Department, data integrity, research initiatives, list building |
| Data Verification Manager | Data quality audits, multi-source validation, accuracy benchmarks | 12+ years | Runs verification workflow, flags exceptions, signs off releases |
| Business Data Architect | Schema design, interoperability, API & warehouse readiness | 10+ years | Designs data structures that power classification & lookup tools |
| Economic Data Researcher | Census/BEA datasets, sectoral analysis, macro linkages | 8+ years | Ensures alignment with public economic indicators and hierarchies |
| Compliance & Data Governance Specialist | Audit trails, privacy policies, documentation standards | 9+ years | Maintains lineage records, refresh logs, and governance artifacts |
Why a Multidisciplinary Team Matters
Industry classification is not just a technical exercise; it’s an interpretation of how businesses actually operate. Our team’s varied backgrounds—spanning biology, finance, international business, strategy, quantitative management, and marketing—enable context-aware verification. Analysts with life-sciences training review healthcare sub-verticals, while finance and strategy specialists evaluate complex corporate structures and multi-line entities. International marketing experience helps assess global market classification accuracy and crosswalk consistency.
Editorial & Verification Oversight
- Multi-source validation: Each classification decision is checked against multiple trusted sources. See details in our Data Verification Policy.
- Analyst review: Senior analysts evaluate edge cases and document rationale for every exception.
- Lineage tracking: We retain timestamps, source references, and verification method per record as detailed in our Methodology & Data Verification.
- Change management: Reclassifications are versioned with release notes and impact flags.
Data Integrity Metrics
Across all datasets, our internal accuracy benchmark exceeds 98.7%. Each code record is verified by a minimum of two independent sources prior to release, and changes are reconciled through quarterly refreshes with documented change files, as outlined in our Verification Methodology.
Affiliations & Reference Standards
Our verification principles align with guidance from organizations such as the U.S. Census Bureau and the Bureau of Economic Analysis (BEA). We also reference best practices from standards like Data Accuracy Benchmarks: SICCODE vs Generic Providers.
Review Board & Audit Oversight
A senior analyst panel reviews reclassification decisions quarterly to ensure consistency, minimize bias, and maintain lineage integrity. Findings are summarized in internal audit notes and used to refine policy and training materials. For our policy on audit and governance, see SICCODE Data Governance Framework & Stewardship Standards.
Update Cadence & Freshness
- Core hierarchies: Reviewed at least annually for SIC/NAICS structure and crosswalk accuracy. Learn about the SIC Code and NAICS Code standards.
- Extended codes & entities: Verified quarterly with change files for additions, updates, and removals.
- Drift monitoring: Event-driven checks for M&A, pivots, and new product lines that affect classification.
Our Tools: AI-Assisted, Human-Verified
Automation assists in preliminary data ingestion and anomaly detection. All published records are human-verified and cross-checked by our analysts to prevent algorithmic bias and ensure explainability. See how we integrate automation and human review in Building AI-Ready Datasets with Verified SIC & NAICS Codes.
Policies & Transparency
Read our Data Verification Policy for definitions of verification thresholds, source reliability scoring, escalation procedures, and retention of lineage artifacts.
Editorial Standards
SICCODE.com follows strict editorial standards to ensure neutrality, verifiable sourcing, and transparency in data presentation. Editorial & Neutrality Standards guide our work. We do not accept paid placement for classification outcomes and disclose material limitations where applicable.
Contact the Data Governance Desk
Questions about data sources, verification, or usage can be directed to our team through the Contact Us page. Upon request, we can provide methodology notes, lineage overviews, and guidance for audit documentation.