Farm data cleanup and reporting
Consolidate field, herd, input, and sales records from spreadsheets and apps into clean data with reliable reports for management and lenders.
Most operations have more data than they can use. Field records live in one app, input purchases in accounting, herd records in a spreadsheet, and sales in settlement statements. Answering a question like cost per acre by field, or margin by load, means stitching them together by hand.
We consolidate those sources into a clean, documented data model, validate it, and build reports that answer management's real questions. The same clean data then feeds planning in PursuitBid and any automation that comes later.
Things to keep in mind
- Agree units and season boundaries before merging records.
- Keep raw exports so every report can be traced back.
- Plan updates around the season so data stays current.
How it works
Inventory sources
List every app, spreadsheet, and statement that holds operating data.
Agree definitions
Fields, units, seasons, and cost categories are standardized.
Load and validate
Data is imported with checks that totals reconcile with the source.
Build reports
Cost per acre, per head, or per load, and lender-ready summaries come from one source of truth.
Frequently asked questions
Can you pull data from our farm management app?
Usually through exports or an API. We review what the app supports first.
What does data work cost?
Data engineering is $125 to $225 per hour, usually fixed in scope after an assessment.
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Tell us what needs to work better. We reply within one business day with a clear next step.