A case study from the founder's work inside a Fortune 100 analytics organization. The client is anonymized; no client name, data, or screenshots are used.
Years of dashboard building had left 132 Tableau workbooks in production with no reliable inventory of which ones were still correct. Fiscal-year logic had changed, and every workbook that handled it wrong was a decision waiting to be made on bad numbers. A manual audit — open each workbook, trace its calculations, check five categories of fiscal-year problems — would have taken weeks of analyst time nobody had.
An automated audit tool that read every workbook by itself, checked each one against the five problem categories, and produced a findings report with a specific fix instruction for every issue — so workbook owners could repair their own work instead of waiting on the audit team.
And it finished ahead of the fiscal deadline.
This is exactly the $950 Reporting Health Check MJR sells first: connect, scan everything, hand the owner a plain-English report of what's broken, what's stale, and what it will cost to fix — before anyone commits to a build or a retainer. The founder isn't selling a method he read about. He has already run this audit, at scale, under a real deadline.
After the build, clients don't get raw exports — they get instruments a busy owner can read in two minutes. Samples below use illustrative data.
Book the free 30-minute call. Bring your worst report; leave with a straight answer on what a Health Check would find.
Book the free call