REAL-WORLD ANALYTICS · BETTER WORK, FEWER SURPRISES

Your tools keep the output.
Keep the reasoning behind it.

A project spans spreadsheets, dashboards, notes, assumptions and decisions. Months later, you have the results but not the full story. MyDataCanvas gives that work a persistent home.

Keep using Excel, Power BI, Tableau, SQL and Python. These products complement the tools you already use.

PROJECT / QUARTERLY REVENUELOCAL PROJECT
THE QUESTIONWhy did revenue decline while traffic grew?
01 · EVIDENCESales and traffic workbooksSource linked
02 · REASONINGProduct mix shift explains varianceAssumptions retained
03 · QA4 verified · 2 to reviewUnresolved items visible

Come back next quarter. The question, evidence and reasoning are still together.

Illustrative workspace, not an application screenshot.

TWO WAYS TO IMPROVE THE WORK

Spend less time reconstructing. Share with more confidence.

01 / MYDATACANVAS

Never reconstruct a project again.

All the questions, evidence, assumptions, QA and deliverables in one local-first workspace. Find what you did last quarter, why you did it, and what still needs checking.

  • Save time finding old work
  • Resume with the reasoning intact
  • Know what has been checked and what has not
Explore MyDataCanvas
02 / DASHBOARD PREFLIGHT

Catch mistakes before executives do.

Get an independent second look at the dashboard you are about to share. Find confusing visuals, incomplete context and comparisons that invite uncomfortable questions.

  • Present with greater confidence
  • Protect your professional credibility
  • Fix visible issues before the meeting
Explore DB Preflight

Dashboard Preflight evaluates the screenshot and context supplied. It does not independently verify underlying source data or calculations.

A BETTER WAY TO WORK

Keep the project. Check the presentation.

MyDataCanvas preserves the analytical work and judgment behind the answer. Dashboard Preflight reviews how clearly a dashboard communicates that answer. Each solves a different problem.

01Work in your existing toolsExcel, Tableau, Power BI, SQL, Python, R and more.
02Preserve the reasoningKeep evidence, versions, QA states and decisions with the project.
03Review before you shareCatch visible dashboard communication issues before an important meeting.

WATCH A REAL EXAMPLE · FREE

The first answer is not always the right one.

In this Netflix analysis, my first explanation sounded right. Checking the evidence changed the answer. That's the skill behind every Build.

BUILD WITH SOMEONE WHO'S DONE THE WORK

I have built the models. I know what to question.

I'm Stephen McDaniel. I worked on customer lifetime value as Netflix's first data scientist, helped create Tableau's original training, and have taught more than 30,000 people. I've also built forecasts for billion-dollar pharmaceutical deals.

This experience shaped the Seven C’s, MyDataCanvas, and the way I approach dashboard quality. More about my work.

NetflixFirst data scientist
TableauOriginal training
30,000+People taught
$1B+Pharma deal modeling

FROM PEOPLE I'VE WORKED WITH

Good work earns trust.

“He combines strategic vision with hands-on expertise in data engineering, analytics, and data science.”
Doug Pollack, Chief Revenue Officer
See original recommendation
“Stephen had an immediate and substantial impact on our team.”
Jeff Katz, VP, Partnerships & Strategy
See original recommendation

ALSO FROM THE ACCIDENTAL ANALYST

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Get practical ideas for better analysis.

Occasional lessons on preserving analytical reasoning, checking dashboards and making defensible decisions.

START WITH ONE REAL PROJECT

Keep the work behind your next answer.

Explore MyDataCanvas, or check a dashboard with Preflight before it goes to your audience.

Explore the Store