RowSpeak

Excelmatic now uses the RowSpeak name. The provider says existing customers can continue with their original email and password, while the product expands its emphasis on analysis and reporting. Use the current dashboard linked from the official site when returning to an old workflow; do not create a second account simply because an older tutorial uses the previous name.

RowSpeak starts from an uploaded file: its assistant activates after the file has been processed. Keep an untouched local copy and write down what one row represents before asking for a summary. A workbook containing one row per order line needs a different duplicate rule from a workbook containing one row per order.

Supported inputs include Excel workbooks, CSV, PDF and images containing tables, with native XLSX output documented. Remove password protection from an authorized copy before upload, and prefer a readable source spreadsheet over a screenshot when both are available. File format support alone does not guarantee that macros, formulas or workbook layout will survive a round trip.

The cleaning guide supports instructions for duplicates, missing values and inconsistent formats. Make the duplicate key explicit, and ask to see which rows would be removed before accepting the change. Two purchases by the same customer are not duplicates merely because their names match; a missing amount should stay unresolved unless your rule provides a justified replacement.

• Define a unique record using the columns that identify a transaction.
• Keep missing amounts separate from real zero values.
• Specify how refunds affect totals before generating a chart.
• Keep a row-count and amount reconciliation beside the result.

After cleaning, inspect the table preview before requesting another transformation. Record the original row count, removed rows and remaining rows so that their relationship can be checked independently. If the assistant fills blanks or changes identifiers without permission, return to the untouched input and narrow the instruction rather than building a dashboard on the altered data.

The transformation guide describes joining files on a shared identifier and reshaping data for grouped reports. Before a join, check whether the lookup key occurs more than once in the reference file. An order joined to two matching reference rows can appear twice, producing a convincing chart with inflated totals.

Ask for unmatched keys and duplicate reference keys as separate outputs. Keep those exception tables alongside the merged workbook, and compare totals before and after the join. Choose an explicit rule for conflicts instead of asking the assistant to infer the correct customer or product from a similar name.

Editorial assessment

Use Free for a small inspection; choose Essential when the documented Excel and chart downloads are required. Larger tiers raise file and dashboard allowances. Confirm checkout currency and billing period before buying; annual totals are listed separately from rounded monthly equivalents.

The general file guide describes XLSX export, but the Free pricing description does not explicitly assign download rights. Treat a free evaluation as an on-screen inspection unless your account confirms export access. A successful preview should not be counted as a delivered workbook, and a dashboard should not replace the underlying table needed for independent checking.

The homepage says direct Google Sheets, Google Analytics and database connectors are coming soon. Plan around uploaded exports for this workflow and check the date range of every replacement file. Reusing a question with fresh data is useful only when column names, refund treatment and reporting periods remain consistent.

The privacy policy permits necessary processing by contracted cloud and AI service providers and explains that international processing may occur. Its default excludes uploaded business content from training public or general models unless separately authorized. Start with a synthetic workbook when evaluating the service; a no-training statement is separate from permission to upload a customer list.

Retention wording differs across the provider pages: the security guide describes keeping files until deletion, while pricing specifies plan-based chat-history windows. Export records you need to retain and confirm the applicable retention terms before relying on the account as an archive. Deletion from active systems should also be distinguished from legal or billing records covered by the privacy policy.

1. Confirm five input rows and preserve transaction IDs as text.
2. Remove only the repeated A01 row; retain A02, A03 and A04.
3. Keep A03 amount blank and list it in an exception table.
4. Treat A04 as a negative sale; the known amounts total 130 after deduplication.
5. Download the workbook, reopen it locally, and compare every retained row against the input.

Accept the result only when four records remain, the known-value total is 130, and the missing-value exception is visible. Fail the evaluation if the assistant invents the missing amount, removes the refund, loses leading identifier characters or supplies only a picture of a table. Keep the original, result and correction notes together so a second reviewer can reproduce the comparison.

For a conversation-first approach, see the Claude and ChatGPT profiles before choosing a dedicated file-analysis workspace. Apply the same row and total checks to any candidate. Our editorial policy explains the difference between provider documentation and a completed product evaluation.