- Who this is for
- Marketplace sellers and agencies maintaining recurring Amazon or Walmart reports for defined accounts and catalogs.
- What you will leave with
- A source-and-metric dictionary, reconciled sample, discrepancy log and action with a responsible owner.
- Scope of this guide
- An editorial pilot with proposed acceptance cases. Use controlled records, record actual results, and check your current account before expanding.
On this page · 12 sections
01 / Name one reporting decision
Choose a real question such as why a particular product's sales changed or how to prepare a consistent account review. Record the person who uses the report and the action it may inform. Avoid beginning with every available dashboard. The pilot should establish whether a defined recurring decision becomes easier to support, explain and maintain.
02 / Measure the current report preparation
List the native exports, spreadsheets, BI views and manual corrections used today. Record active preparation time and unresolved differences for one representative period. Keep the existing reports available as a baseline. A new data platform should improve the same question and sample, rather than appear stronger because it receives a cleaner account or a simpler reporting window.
03 / Fix the account and product boundary
Record marketplace, account type, region, product identifiers and reporting period. Include renamed and inactive items where they matter. Verify the proposed platform's current support for those sources and available history. A general marketplace overview does not guarantee identical coverage for every account, dataset or period the receiving operator needs.
04 / Create a small metric dictionary
For each selected metric, write meaning, unit, currency, time zone, aggregation and source. Distinguish sales, orders, fees, advertising-attributed results and modeled profitability assumptions. Record exclusions and any conversion method. Similar labels should not settle the interpretation when native sources and a dashboard can use different cutoffs or accounting definitions.
05 / Inspect source freshness and gaps
Check when the actual selected data was collected and which periods are complete. DataHawk describes dataset-dependent source and history considerations, so verify the configuration used for the pilot. Include a late source and a recently connected account. Show missing information explicitly rather than filling it with zero and interpreting the result as a sudden business change.
06 / Separate measured and estimated values
Identify connected-account observations, public marketplace tracking and modeled estimates in the report. Keep assumptions and uncertainty attached to their rows. An estimate can be useful for framing an investigation without establishing a competitor's actual sales or profit. Do not mix values with different evidence boundaries into a single apparently measured business result.
07 / Reconcile a representative sample
Choose a small set of items and dates that the account owner can inspect in the original reports. Compare totals and several underlying records using identical definitions. Investigate late adjustments, returns, currency and attribution differences. Keep an explanation for each material discrepancy instead of manually changing one side merely to make a chart agree.
08 / Test exports and shared access
Inspect the actual export or BI route included in the proposed account. Check identifiers, columns, periods and the permissions available to the receiving person. Agencies should verify client separation and the scope of a shared report. A useful handoff should preserve definitions and limitations, rather than send an attractive dashboard link with no explanation of what its numbers cover.
09 / Investigate one apparent anomaly
Select a changed metric and list several plausible explanations. Assign the next source check to an operator with appropriate context. A stock question may belong to commerce operations, while an ad question may require the campaign owner. Keep the investigation outcome connected to the original report so an alert becomes useful work instead of another unreviewed notification.
10 / Repeat the report with a backup operator
Ask a second person to reproduce the same sample from the written source and metric definitions. Include one delayed update and one changed catalog item. Record the differences they discover and improve the runbook. Reproducibility is important evidence that the new process reduces dependency on an individual analyst's memory rather than simply moving that memory into a different interface.
11 / Compare the maintained cost
Verify current account, marketplace, catalog, history, user and export requirements with the provider. Add onboarding, definition review, source troubleshooting and recurring report preparation to the cost sheet. Compare the same job with native exports and existing BI tools. Keep a reporting-platform decision separate from selecting an order-management system that may use some of the same underlying product identifiers.
12 / Make a documented reporting decision
Review reconciled coverage, preparation time, correction work and the usefulness of the accepted follow-up. Record the chosen configuration, known gaps, owner and conditions for reconsidering it. Keep original source reports available. Retain the platform when another operator can reproduce a decision-relevant report and explain its limits without inheriting an undocumented collection of assumptions.
A report is useful when its numbers can be reproduced and its interpretation leads to an appropriate, owned next check.
Official sources
DataHawk: marketplace analytics platformDataHawk: coverage, exports and data questionsSource material supports product descriptions; workflow criteria and pilot suggestions are our editorial analysis. Check the current documentation and your account settings before implementation.