Six kinds of data work
From cleanup to dashboards to forecasts, each service can be used alone or combined.
Dashboards and Reporting
Sales, operations and finance dashboards that answer the questions managers ask every Monday, built in the tools your team already uses.
Outcome: One screen instead of five spreadsheets.
Data Cleanup
Duplicates, mismatched names and missing fields found and fixed, with a written log of every change.
Outcome: Numbers that match across departments.
Data Pipelines
Scheduled jobs that pull from your accounting, point-of-sale and operations systems into one reporting database.
Outcome: Reports that refresh without anyone exporting files.
Forecasting and Modeling
Demand, staffing and budget models built from your history, with the assumptions listed beside the results.
Outcome: Estimates you can question and adjust.
Analyst Support
A part-time analyst who answers ad hoc questions, checks your reports and builds new views when you need them.
Outcome: Answers within days, not quarters.
Data Governance
Plain definitions for each metric, owner names, and access rules for who can see which data.
Outcome: Everyone uses the same definition of revenue.