Analytics Manager-led consulting
DANZ L.L.C. turns scattered exports, fragile workbooks, Power Query steps, and recurring reports into handoff-ready systems. AI can speed up the build, but the work is grounded in years of manual systems, reporting, and planning experience.
Example Work
These synthetic PNG previews show the kind of polished reporting, planning, and operational decision surfaces DANZ L.L.C. can create. They are not client files, formulas, prompts, or proprietary workflows.
Forecast vs. Budget
A polished review packet that helps a business see where actual performance is beating or missing plan, then separate the real drivers from the noise.
Shipping Fulfillment
A recurring operations view for spotting late-volume clusters, lane issues, carrier cutoff problems, and the next checks needed before the week closes.
Inventory Planning
A planning surface that turns category noise into ranked SKU exceptions, so stockout risk, excess inventory, and reorder reviews are easier to discuss.
Executive KPI Packet
A concise PDF-style packet that combines refresh checks, trend movement, and weekly findings into something leadership can read quickly.
Synthetic, not confidential.These previews use sample data and generalized business questions to show output quality without exposing client files, employer information, formulas, prompts, automation code, or proprietary workflow logic.
How Projects Take Shape
Most projects start with a recurring pain: a refresh that takes too long, a report people do not trust, or a planning process that lives in too many tabs. The fix is scoped around the output people actually need to use.
Excel + Power Query
Reporting Outputs
Planning Tools
Method
The work starts with the real process: where the data comes from, who needs the output, what keeps breaking, and what has to be easy to repeat after handoff.
Map the data sources, files, refresh steps, output owners, and pain points.
Structure the inputs before automating, so the output starts from something trustworthy.
Create the workbook, report packet, dataset, queue, or refresh path the business actually needs.
Review the checks, assumptions, refresh steps, and ownership notes before the project closes.
AI-Assisted, System-Owned
DANZ L.L.C. uses AI where it meaningfully speeds up analysis, cleanup, documentation, testing, or automation. The advantage is judgment from years of building reporting and planning systems manually first, so the final workflow can still be owned, checked, and maintained.
FAQ
A few practical answers to help you decide whether the work is a fit and what to include in the first note.
Recurring spreadsheets, reporting packets, Power Query cleanup, KPI views, planning tools, and data quality checks with a clear business owner.
Pricing is quote-based. A written scope comes before paid work starts, so the deliverable, assumptions, timing, and boundaries are clear.
Yes. The default is remote-first work using shared files, sample exports, calls, and written handoff notes. Local work is considered by exception.
Only share what is needed to scope and complete the work. Synthetic samples, stripped-down files, or limited extracts are preferred when they can answer the question.
No. AI is used where it makes the work better or faster, but the goal is still an understandable workflow the business can own.
Describe what happens today, what you want to happen instead, how often the process repeats, who uses the output, and what files or systems are involved.
Good Fit
DANZ L.L.C. takes on a limited number of projects at a time. The best projects have a clear business process, recurring value, and a defined owner for decisions and feedback.
Next Step
Email a short description of the report, spreadsheet, or process you want to improve. Include what happens today, what you want to happen instead, how often the work repeats, and what files or systems are involved.