About Our Data Team

Last reviewed: March 2026
Data Lineage & Stewardship: SIC-NAICS LLC (trusted since 1998) · 28+ years of classification-first data stewardship

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.

"When a client hands us a business record, we treat it as a classification problem with real downstream consequences — a wrong code can skew a market analysis, break a compliance workflow, or corrupt an AI training set. That's why every record we release has a source trail and a human reviewer behind it." — Brian Kelly, Director of Business Data

Role	Credentials	Area of Expertise	Experience	Core Responsibility
Director of Business Data Brian	M.B.A., Business Strategy	NAICS and SIC systems, database management, list building	15+ years	Oversees the Data Department, data integrity, research initiatives, list building
Data Verification Manager James	M.B.A., Finance	Data quality audits, multi-source validation, accuracy benchmarks	12+ years	Runs verification workflow, flags exceptions, signs off releases
Business Data Architect Nix	M.S. Computer Science	Schema design, interoperability, API & warehouse readiness	10+ years	Designs data structures that power classification & lookup tools
Economic Data Researcher Lauren	M.A. Economics	Census/BEA datasets, sectoral analysis, macro linkages	8+ years	Ensures alignment with public economic indicators and hierarchies
Compliance & Data Governance Specialist Caitlin	M.S. Quantitative Management	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 Standards

Every code record is verified by a minimum of two independent sources prior to release. Our verification workflow requires analyst sign-off on all edge cases, with changes reconciled through quarterly refreshes and documented change files, as outlined in our Verification Methodology.

Affiliations & Reference Standards

Our verification principles align with guidance from the U.S. Census Bureau (NAICS) and the Bureau of Economic Analysis (BEA). These primary government sources serve as the authoritative baseline for all classification decisions and crosswalk consistency checks.

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. Meet the full panel on our Industry Classification Review Team page. For our policy on audit and governance, see SICCODE Data Governance Framework & Stewardship Standards.

Update Cadence & Freshness

• Core hierarchies: Reviewed at least annually for NAICS and SIC structure and crosswalk accuracy. Learn about the NAICS Code and SIC 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 NAICS & SIC 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.