Netflix customer economics and vendor assurance
Built foundational customer lifetime-value and cohort-valuation systems, then used analytical vendor-performance audits that identified discrepancies leading to approximately $7 million in recoveries.
ABOUT STEPHEN MCDANIEL
I have spent more than three decades as an analyst, product leader, data science executive, teacher, and hands-on builder. The tools changed a lot. The responsibility did not: understand the question, test the evidence, and make a call you can defend.
The Accidental Analyst is for business professionals who became responsible for the answer, often without ever planning to become “the analyst.” I want to help you work faster, make better calls, and second-guess less without handing your judgment over to AI.
WHERE I LEARNED THE METHOD
Across finance, marketing, product, healthcare, media, and operations, the numbers had to hold up with executives, customers, boards, and the people responsible for acting on them.
Built foundational customer lifetime-value and cohort-valuation systems, then used analytical vendor-performance audits that identified discrepancies leading to approximately $7 million in recoveries.
Architected the predictive and Snowflake platform supporting Canada’s approximately $2.7 billion linear television advertising market, including 60-day, half-hourly forecasting across roughly 320 stations.
Led a multidisciplinary R&D organization of approximately 40 people supporting enterprise business-intelligence products generating approximately $100 million annually.
Conceived and architected Tableau’s native ETS forecasting capability with automated model selection and prediction intervals for business users.
Built revenue-verification and Monte Carlo acquisition-simulation systems supporting board evaluation of a pharmaceutical transaction exceeding $1 billion, including sensitivities and P50/P90 risk ranges.
Directed customer-to-revenue analytics strategy, executive KPI governance, and predictive churn and expansion work connecting product signals to finance, revenue, sales, and retention planning.
FOR TEAMS THAT WANT STEPHEN IN THE ROOM
Public programs, conference workshops, and customized company training have been a major part of my career. The best sessions start with real work.
I co-developed and taught the original Tableau in-person training program across three major releases, with five hands-on courses. I also taught at Tableau customer conferences in the U.S. and Europe.
Bring your actual workbooks, models, dashboards, or structurally equivalent examples. We use them to strengthen how your team frames questions, checks evidence, challenges AI-assisted analysis, and communicates decisions.
I have presented analytical results, architecture, commercial implications, and recommendations directly to CEOs, CFOs, CTOs, boards, operating leaders, agencies, advertisers, healthcare leaders, and government stakeholders.
PRIVATE ONSITE TRAINING
Private online dashboard workshops start at $5,000 for five participants, with four live hours across two sessions. Expanded or onsite engagements are quoted separately.
WHY THIS MATTERS
“A technically correct analysis can still produce the wrong decision.”
Calculation is often the easy part. The harder work is defining the question, reconstructing the evidence, challenging alternative explanations, testing whether the recommended action survives costs and constraints, and deciding in advance what would prove the decision wrong.
FOUR QUESTIONS I ASK OF EVERY FINDING
Before a finding becomes a recommendation, I use these four questions to pressure-test it.
Raw data is not evidence until the result can be rebuilt. Definitions, populations, transformations, calculations, and assumptions should be clear enough to reproduce the finding independently.
A strong pattern can still have the wrong cause. Before accepting the obvious explanation, ask what else could produce the same result.
A correct finding does not justify a recommendation on its own. Cost, reversibility, capacity, customer response, implementation constraints, and second-order effects determine whether the right answer is also the right move.
Every consequential decision should name the evidence that would modify or reverse it, and when leadership will check. Agreeing on that in advance turns monitoring into governance instead of hindsight.
PEOPLE WHO SHAPED THE FIELD NOTICED THE METHOD
What matters to me is that the praise was for the method itself.
Pat Hanrahan built part of his Tableau Conference keynote around The Accidental Analyst and said the book changed how he thought about analytics and influenced how he taught at Stanford.
Few described it as accessible, directly applicable to business work, and a strong resource for building analytical prowess.
TRUSTED TO TEACH EXPERIENCED PROFESSIONALS
Stephen has taught experienced professionals the same discipline at the heart of The Accidental Analyst: start with the real business question, interrogate the data, test whether the context is complete, and make the analysis useful to the people who must act on it.
BUILT, SIMPLIFIED, PUBLISHED
The same idea runs through the books and the teaching: find what matters, build the analysis around it, and make the result clear enough for someone to act on.
The Accidental AnalystA proven system for turning ambiguous business questions and messy data into confident decisions, grounded in the principles of the scientific method.

Rapid Graphs with Tableau 8The original Tableau book. Stephen led the original Tableau training program as the first Gold partner and later worked at Tableau as Director of Analytic Product Management.
“Stephen looks at what the business needs and works back to the technology. This insight is invaluable for improving ROI and driving quick wins from the analytical investment.”
EXECUTIVE AND PEER ENDORSEMENTS
LinkedIn recommendations shown below. See them all on Stephen's LinkedIn page.






FOR LEADERS AND TEAMS
Private online and onsite programs use your team’s actual work, tools, and business context.
LEARN TO BUILD TRUSTWORTHY DASHBOARDS
Explore Confident Dashboards with Claude ($399 founding price, then $499) and watch free Claude Dashboard Daily builds.