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Compare your table data across reporting periods for free. Review totals, group changes and source exceptions, then export an operations report with traceable inputs.
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Compare your table data across reporting periods for free. Review totals, group changes and source exceptions, then export an operations report with traceable inputs.
The example totals 300 in the baseline and 450 in the reporting period: a 150 difference and 50% change. Email remains 200 → 200; community changes 100 → 250. Source rows substantiate the figures.
Up to 20 MB, 100,000 input rows, 2 million cells and 1,000 groups. Missing or invalid values are not silently treated as zero. Rates are not applicable for missing records or a zero or negative baseline. Snapshots retain aggregates and rules, without source files; reimport data to recalculate.
No. It calculates changes and retains evidence. You supply and verify the business explanation.
Missing records and zero or negative baselines make percentages misleading. The report shows counts, absolute differences and the reason instead.
Use the local functions for free without a KitNelo account. Optional Gemini generation sends the supplied text to Google and requires a configured server API key; provider fees and quotas can apply.
Missing data and zero or negative baselines do not produce a meaningful growth rate. You provide the verified business explanation.
Read KitNelo data and privacy detailsImport your table data and choose the reporting and baseline periods to compare totals and group changes. Inspect source exceptions and missing observations before interpreting differences, making sure both windows represent a comparable set of business records.
Use the reviewed period comparison to prepare a report with totals, group movements and source references. Add a verified business explanation for the changes yourself; the report organizes observed records without knowing why your operations changed.
Inspect absolute changes and eligible growth rates between the selected reporting windows. Review missing data and zero or negative baselines separately, because those conditions do not produce a meaningful ordinary growth percentage even when a numeric difference exists.
