For the spreadsheets your business already runs on.
Statboy helps SMB teams clean messy CSVs and spreadsheets, answer business questions in plain English, and turn recurring file work into reusable datasets, saved queries, and dashboards without hiring a BI team.
Clean this monthly spend export, normalize vendor names, flag repeat charges, and build a dashboard showing spend by month and supplier.
Cleanup steps
6
Planned writes
2
Saved assets
3
Preview the plan first
See cleanup steps, dataset writes, and dashboard actions
Preflight
Outputs
Dataset
Monthly Spend
4,284 cleaned rows
Dashboard
Spend by supplier
Query
Show monthly spend by vendor and highlight the fastest-growing category.
Your team is doing analyst work with spreadsheet tools and a lot of patience.
The files keep coming, the cleanup keeps repeating, and the people who need the answers are usually the same people stuck wrangling the data.
Spreadsheet roulette
Every week starts with another pile of CSV exports, emailed spreadsheets, and downloaded reports with slightly different columns.
Cleanup on repeat
The same normalization, deduping, mapping, and reporting work keeps getting rebuilt by hand in tabs, formulas, and one-off exports.
No BI team on standby
SMB teams still need answers, but there usually is not an analyst, data engineer, or BI resource waiting to clean the file for you.
One workspace for cleanup, analysis, and reusable reporting.
Statboy gives spreadsheet-heavy teams a practical AI BI workflow. Upload the file, describe the job in plain English, review the plan, and keep the useful result instead of rebuilding the same cleanup and analysis every time.
Preflight
Review before anything writes
Cleanup
Standardize dates, vendors, and category labels
Dataset write
Append cleaned rows to Monthly Spend
Saved query
Monthly spend by supplier and category
Dashboard
Create spend trend and top vendors widgets
What Statboy actually does
It is not just a file uploader and it is not pretending to be a giant enterprise BI suite. Statboy helps small teams move from messy files to usable answers and repeatable reporting.
Start from the business request
Describe the cleanup, analysis, or reporting task in plain English instead of building a workflow from scratch.
Clean and normalize messy files
Use Statboy to standardize dates, fix categories, reconcile columns, and prepare exports that were never designed to work together.
Answer questions like a BI analyst
Ask for trends, breakdowns, comparisons, and summaries in natural language, then inspect the SQL when you want transparency.
Keep the useful result
Turn successful runs into datasets, saved queries, dashboards, and templates so recurring work becomes faster next time.
Built for spreadsheet-first analysis, not warehouse-first teams.
Statboy fits teams that need a practical BI layer around the files they already live in. It helps you move faster without hiding the important parts of the workflow.
Normalize this sales export, map duplicate account owners, show monthly pipeline by segment, and build a dashboard for our Monday review.
Rows cleaned
12.4k
Saved query
1
Dashboard widgets
4
Review planned writes first
Dataset writes and dashboard actions are surfaced before execution so business users can confirm the plan before anything changes.
Clarify ambiguous targets
If the request could write to the wrong place, Statboy can stop and ask which dataset or workflow you actually mean.
Track progress and summaries
See the request move from plan to execution to result instead of waiting on a black box and hoping the output is usable.
Reuse queries and dashboards
Saved queries and lightweight dashboards keep useful work visible after the original request is gone.
Move from UI to API later
Start with ad hoc spreadsheet work, then automate proven workflows once the process is stable enough to deserve it.
Download what went in and out
Keep access to original files, generated outputs, and reusable artifacts so the workflow stays reviewable.
Practical details your team will notice every week.
Statboy is meant to help with recurring business-side analysis, so the workflow needs to stay clear, reviewable, and easy to reuse.
Plain-English requests
Start from the question, not from SQL syntax or BI-tool setup.
Reviewable write actions
Preflight and confirmation help prevent accidental dataset changes.
Saved query library
Useful analysis can become a reusable asset instead of a one-time answer.
Lightweight dashboards
Turn repeated questions into widgets your team can revisit without rebuilding.
Templates for recurring work
Good workflows can be reused when the same file pattern shows up next week.
API when ready
Teams can begin in the UI and automate later after the workflow proves itself.
Start free. Use it on real spreadsheet work.
Statboy is built for SMB teams and lean departments that need practical help now, not a long BI rollout and not a big-team software budget.
Prove the workflow first
Use Statboy on the messy files your team already handles. Clean data, ask questions, create reusable datasets, and see whether the workflow fits before you think about scaling it.
- Upload spreadsheets and CSVs
- Run plain-English cleanup and analysis requests
- Review planned dataset and dashboard writes
- Keep useful results as datasets, saved queries, and dashboards
When the work becomes recurring, keep the same workflow with reusable datasets, templates, dashboards, and API-driven follow-through.
Frequently asked questions
Is Statboy built for CSV and spreadsheet workflows?
Yes. Statboy is designed for the export-heavy work many SMB teams already do with CSV files, spreadsheets, and downloaded reports.
Do I need SQL or BI tooling experience to use it?
No. You can start in plain English. When Statboy generates structured analysis, you can inspect the SQL and outputs if you want more transparency.
Is this mainly for teams without a BI or data engineering function?
Yes. That is the core fit. Statboy is aimed at teams that still have to clean, analyze, and report on file-based data without dedicated BI, analytics engineering, or data platform support.
Can Statboy help with cleaning before analysis?
Yes. Cleaning and normalization are central to the workflow. Statboy is meant to help with the messy file preparation that often blocks useful analysis.
What happens before Statboy writes to a dataset?
Statboy preflights the request first. If the workflow includes dataset or dashboard writes, it can surface the planned action and ask for confirmation or clarification before it runs.
Can I reuse the same workflow every week or month?
Yes. Successful runs can turn into templates, saved queries, reusable datasets, and dashboards so recurring spreadsheet work becomes more consistent over time.
Can it build dashboards from the results?
Yes. Statboy can turn useful saved queries into dashboard widgets so the output becomes something the team can revisit and share.
Is Statboy trying to replace a full enterprise BI stack?
No. Statboy is best for practical file-based analysis and reporting work, especially for SMBs and lean departments that do not have a full warehouse-plus-BI setup.
A practical BI layer for businesses that still run on files.
Statboy exists because too many teams are doing important data work with spreadsheets and no BI help. The goal is not to replace every part of a mature data stack. It is to give smaller teams a faster, clearer way to clean, analyze, and reuse the data they already have.
Turn next week's spreadsheet pile into something useful.
Upload the files you already get, ask for what you need in plain English, and let Statboy help you turn recurring spreadsheet work into a usable BI workflow.
Start free