# Methodology attestation — AI data visualization tools desk log

**Status:** Internal named attestation (not an independent audit; not an external peer letter)  
**Page:** https://infinisynapse.com/en/blog/ai-data-visualization-tools  
**Attestor:** William Zhu, InfiniSynapse cofounder ([GitHub @allwefantasy](https://github.com/allwefantasy))  
**Profile:** https://infinisynapse.com/en/editorial-standards#william-zhu  
**Date:** 2026-07-29  
**Contact for contradictions:** zhuhl@infinisynapse.com  

## What this document is

A signed public checklist of what the named engineering accountability holder verified before this page’s desk scores shipped. It **does not** replace a commissioned independent audit or an external methodology peer review. Those remain open invitations; see [peer-review-invitation.md](https://infinisynapse.com/blog-media/ai-data-visualization-tools/downloads/peer-review-invitation.md) and the [editorial peer-review archive](https://infinisynapse.com/en/editorial-standards#peer-review-archive).

## Verification checklist (attested)

| # | Check | Result |
|---|-------|--------|
| 1 | Rubric rows discriminate (aesthetics removed; everyone would score Strong on polish alone) | Pass |
| 2 | InfiniSynapse scored **Medium** on visual design, business self-serve, SSO/RBAC maturity, and ecosystem — where incumbents win | Pass |
| 3 | Fixture seed rules (RNG `42`), sample tables, 24-prompt log, and blank scorecard are published under CC BY 4.0 | Pass |
| 4 | Desk-log category counts match the July 2026 run: generators **6/24** fresh-session identical logic; BI copilots **22/24**; warehouse-native **21/24**; AI-native agent **23/24** | Pass |
| 5 | Band-3 (rate) defensible chart types: generators **13/24**; BI copilots **20/24**; warehouse-native **19/24**; AI-native agent **21/24** | Pass |
| 6 | Multi-source band 4 completed: generators **0/6**; BI copilots **3/6**; warehouse-native **1/6**; AI-native agent **6/6** | Pass |
| 7 | Security/governance claims map to named [OWASP LLM Top 10](https://owasp.org/www-project-top-10-for-large-language-model-applications/) and [NIST AI RMF](https://www.nist.gov/itl/ai-risk-management-framework) controls | Pass |
| 8 | Conflict-of-interest disclosure is above the fold; four “do not buy InfiniSynapse” scenarios are named on-page | Pass |
| 9 | Page states clearly that desk scores are **not** independently audited until an external re-run or peer letter is logged | Pass |

## Roles that signed internal methodology review

Published industry resumes / qualification frames (not private certificate PDFs):

- [Analytics engineering](https://infinisynapse.com/en/editorial-standards#analytics-engineering) — fixture design, SQL/chart pass criteria  
- [Data platform](https://infinisynapse.com/en/editorial-standards#data-platform) — warehouse + CRM + events wiring, cost  
- [LLM security](https://infinisynapse.com/en/editorial-standards#llm-security) — OWASP LLM Top 10 + NIST AI RMF  
- [Editor](https://infinisynapse.com/en/editorial-standards#editor) — disclosure and claims discipline  

## How to contradict this attestation

1. Rebuild from [visualization-fixture-seed-rules.csv](https://infinisynapse.com/blog-media/ai-data-visualization-tools/downloads/visualization-fixture-seed-rules.csv).  
2. Fill [visualization-tool-scorecard.csv](https://infinisynapse.com/blog-media/ai-data-visualization-tools/downloads/visualization-tool-scorecard.csv).  
3. Email **zhuhl@infinisynapse.com** with attribution preference. Accepted re-runs — including ones that contradict InfiniSynapse — are logged on the [peer-review archive](https://infinisynapse.com/en/editorial-standards#peer-review-archive) with date and permalink.

## License

CC BY 4.0 — quote freely with attribution and a link to this file.

**— William Zhu, 2026-07-29**