About Our Data Team
SICCODE.com’s data team maintains verified industry classification and business data used for analytics, compliance, segmentation, and research. The team focuses on classification-first data stewardship, which means records are reviewed with attention to business activity, source reliability, lineage, and consistency across SIC and NAICS systems.
This page explains who the team is, how the work is reviewed, and why that matters for organizations that rely on SICCODE.com data.
Who We Are
The SICCODE data team is made up of U.S.-based analysts and specialists with backgrounds in economics, finance, strategy, quantitative management, marketing, computer science, and data governance. That mix matters because industry classification is rarely just a technical lookup. It often requires judgment about how businesses actually operate, how they report activities, and how those activities should be grouped for practical use.
“When a client hands us a business record, we treat it as a classification problem with real downstream consequences. A wrong code can skew analysis, weaken compliance workflows, or reduce the usefulness of an AI dataset. That is why records need evidence, review, and traceability.”
Core Team Functions
Classification and list operations
Oversees industry coding logic, list-building support, and classification consistency across SIC and NAICS systems.
Verification and QA
Reviews source alignment, checks edge cases, and helps confirm that records meet documented verification standards.
Data architecture
Designs the structures that support lookup tools, interoperability, warehouse use, and downstream delivery.
Economic and governance review
Helps align classification work with public economic references, audit practices, and governance documentation.
Selected Team Roles
The team includes specialists across data operations, verification, architecture, economics, and governance.
| Role | Background | Primary focus |
|---|---|---|
| Director of Business Data | M.B.A., Business Strategy | Classification oversight, list building, data integrity |
| Data Verification Manager | M.B.A., Finance | Quality audits, multi-source validation, release review |
| Business Data Architect | M.S., Computer Science | Schema design, interoperability, data structure readiness |
| Economic Data Researcher | M.A., Economics | Public dataset alignment, sector analysis, hierarchy review |
| Compliance and Governance Specialist | M.S., Quantitative Management | Lineage, refresh logs, documentation standards |
Why This Team Structure Matters
- ✓Industry context: different sectors often need different types of review, especially for complex or mixed-activity businesses
- ✓Verification depth: source checks, edge-case review, and release oversight are easier to manage when responsibilities are clearly divided
- ✓Long-term consistency: architecture, governance, and economic review help preserve comparability over time
- ✓Audit support: documentation and lineage practices make records easier to defend and explain
How the Team Works
Multi-source review
Classification decisions are checked against multiple trusted sources rather than relying on a single record alone.
Analyst review
Senior analysts review ambiguous cases and document the reasoning behind exceptions and adjustments.
Lineage tracking
Records can retain timestamps, verification notes, and source context to support repeatability and governance.
Change management
Reclassifications and updates are managed through structured refresh cycles and tracked changes.
For related details, see Data Verification Policy, Methodology and Data Verification, and Verification Methodology.
Data Integrity and Review Standards
SICCODE.com’s review process is built around verification, documentation, and controlled updates. Records are evaluated through governed workflows rather than being treated as static one-time entries.
- ✓Verification: records are reviewed against multiple independent evidence sources where appropriate
- ✓Documentation: rationale, lineage, and review context are retained where needed for governance and QA
- ✓Refresh cycles: hierarchies and extended records are reviewed on scheduled cadences, with event-driven checks when business activity changes
- ✓Human oversight: automation may assist ingestion or anomaly detection, but published records are governed through analyst review
Reference Standards and Oversight
SICCODE.com uses official classification definitions and public economic references as a baseline for its work. The team also reviews policy, governance, and audit-oriented materials to help maintain consistency across releases.
External reference points include the U.S. Census Bureau and the Bureau of Economic Analysis.
Internal oversight references include the Industry Classification Review Team, Data Governance Framework and Stewardship Standards, and Editorial and Neutrality Standards.
Contact the Data Governance Desk
Questions about verification, lineage, governance, or data usage can be sent through the Contact Us page. When appropriate, SICCODE.com can provide methodology notes, lineage overviews, and governance context for audit or internal review.