Founder and technical architect

Two decades building serious data systems, now applied to private legal and property records.

30A AI is run by Stephen McDaniel, who wrote widely used analytics and data-visualization references and taught enterprise data teams how to turn messy records into defensible answers. That is the discipline a law firm or property operator needs before sensitive files touch any AI system.

Stephen McDaniel, founder of 30A AI
Stephen McDanielFounder, 30A AI. Author, faculty, and data architect with roughly twenty years in analytics, forecasting, and data visualization.
Why the background matters

You are not buying a chatbot. You are trusting someone with sensitive files and messy records.

Audit-grade mindset

Decades spent building forecasting and analytics where being wrong was expensive. That is the mindset you want behind a private document system, not a generic prompt wrapper.

Built for restricted data

Years teaching enterprise teams how to handle data warehouses and sensitive records. The work starts with access, provenance, and source citation, not flashy prompts.

Local and accountable

The same architect who designs your workflow supports the deployment. No anonymous remote queue. No handoff to a junior after the contract signs.

Wrote the books

He wrote books other analysts learned from.

The Accidental Analyst book cover

The Accidental Analyst

CreateSpace

A framework for turning raw data into executive decisions. Stephen Few praised it as "a wonderful book, filled with practical advice," and Tableau has listed it among recommended data-visualization books.

SAS for Dummies book cover

SAS for Dummies (1st and 2nd ed.)

Wiley

A widely used guide to one of the world's leading statistical platforms, used by analysts to build audit-grade models. View on Wiley.

Rapid Graphs with Tableau book cover

Rapid Graphs with Tableau

Apress / Springer

One of the first dedicated books on Tableau, written for the visual-analysis standards business intelligence teams still use. View on Springer.

Teaching

Faculty to enterprise data teams.

INFORMS

Invited faculty for Data Exploration and Visualization at the largest professional society for operations research and analytics.

American Marketing Association

Data science faculty leading workshops on customer lifetime value and cohort analysis for valuing marketing spend.

TDWI

Big-data faculty instructing enterprise teams on turning data-warehouse architecture into measurable return.

Tableau Software

Invited faculty and speaker at Tableau World and European conferences on advanced visual analysis and forecasting.

Recognition

Referenced by people who built the field.

Pat Hanrahan placed The Accidental Analyst at the center of his 2012 Tableau Conference keynote and credited it with changing how he thought about analysis and how he restructured his teaching at Stanford.

Pat Hanrahan presenting on The Accidental Analyst at the Tableau Conference
Pat Hanrahan, PhD: Canon USA Professor at Stanford, co-founder of Pixar, and co-founder of Tableau Software, referencing The Accidental Analyst in his keynote.
Handwritten student evaluations from Tableau Conference training
Handwritten evaluations from Tableau Conference training sessions.
Stephen McDaniel featured at the launch of Tableau Public
A featured creator at the launch of Tableau Public.
Tableau whitepaper on customer segmentation and lifetime value
Authored a Tableau whitepaper on visualizing customer segmentation and lifetime value. Read it.

That discipline now runs 30A AI.

Start with a 30-minute screen-share using sample documents only. Then decide whether one private legal or property workflow is worth a paid pilot.