Data cleanup and automation
Turn messy business data into something people can use and repeat.
Spreadsheets, exports, and manual reports often grow around the work until they become difficult to check or repeat.
We clean and reconcile source data, document the rules, build useful reports or dashboards, and automate the steps that are stable enough to run again.
Service 06
Messy spreadsheets and exports cleaned and reconciled, repeatable reports, workflow scripts, dashboards, and small internal tools.
Common starting points
Situations this service can address
- Several spreadsheets or exports need to be combined
- Names, dates, categories, product data, or identifiers are inconsistent
- Duplicate and missing records need a repeatable review process
- A recurring report takes too much manual work
- Staff need a simple dashboard or internal tool
- A process needs validation, exception reporting, or a clear audit trail
Work we scope
The parts we review, repair, or build
The accepted scope names the systems, deliverables, timing, responsibilities, and acceptance checks. We communicate early when a decision could affect the target or schedule.
Data cleanup and normalization
Profile the source, define the rules, preserve the original files, clean the data, and separate uncertain records for review instead of silently guessing.
Reconciliation and quality checks
Compare sources, document mismatches, validate totals, and produce an exception report that shows what still needs a decision.
Reporting and visualization
Build charts, dashboards, or written reports around the questions the business needs to answer. Include source and calculation notes.
Workflow automation and internal tools
Automate stable, repetitive steps with scripts or a small internal tool. Include operating instructions and source files when the scope calls for them.
Typical deliverables
What you receive
Your proposal identifies the deliverables built for your environment and project goals.
- Preserved source snapshot
- Cleaned and normalized data
- Rule and field definitions
- Quality and exception report
- Reproducible script, query, or notebook when included
- Dashboard, report, or internal tool
- Operating and recovery notes
- Final reconciliation summary
Related project example
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Send the shape of the problem.
Describe the file types, approximate row count, where the data comes from, what is wrong with it, and the result people need. A small redacted sample can be reviewed after a secure transfer method is agreed.