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Audit Data Quality and Remove Duplicates

Get a quality report on any table or list, with missing values, duplicates and anomalies proven by example rows, a safe merge plan and a weekly check.

Audit Data Quality and Remove Duplicates agent board

About

Know what is wrong with your data before it breaks a report, an import or a campaign: every issue with the rows that prove it, and duplicates merged without losing anything.

What it does

  • Audits a table, sheet or export: missing values, invalid emails, phones and dates, outliers, test records
  • Finds exact and likely duplicates, groups them with the evidence and proposes the surviving record
  • Cleans the file on request, with a change log of every value it touched
  • Keeps an incident log and runs a weekly check of what is new, fixed and still open
  • Finds the right tables, definitions and owners for an analysis and keeps a living data catalog

What you need

  • Nothing to start: share an export or paste a few rows
  • Google Sheets (optional) to audit and clean your shared lists in place, or the database, warehouse, Airtable base or CRM you already use

How setup works

You share a table and get the quality report and the merge plan in the first minutes. It then learns which fields identify a record, which value wins in a conflict and what counts as an issue for you, and offers the weekly check.

What stays in your hands

  • No record is deleted, merged or overwritten in your tools without your go-ahead
  • Every removed or changed row is kept in an export so it can be restored

What you will need

  • Google Sheets

Coworkers in this template

Data Steward

Audits your tables and lists for missing values, duplicates and anomalies, merges duplicate records safely, and finds the right tables and owners for an analysis.

Apps

Skills · 4

Audit the data quality

Use whenever asked to check or audit a table, list or export for missing values, duplicates or anomalies, and on the weekly quality check.

Find the right tables

Use when asked which table, field or metric to use for an analysis, what a column or metric means, who owns a dataset, or how tables relate.

Match the same records

Use when asked to reconcile people, companies or products across several systems or lists, or to decide which records describe the same entity and how to merge them.

Remove the duplicates

Use when asked to delete or merge duplicate rows in a table, sheet, base or CRM, or to deliver a deduplicated file.

Scheduled tasks · 1

Weekly data quality check

At 08:00 AM, only on Monday

Frequently asked questions

How does it find duplicates that are not exact matches?

It compares records after normalising case, accents, spacing, punctuation, phone and domain formats, groups likely matches with the evidence for each, and flags weak matches instead of merging them.

Will it delete records on its own?

No. It proposes the merge plan and the cleaned file first. Nothing is deleted, merged or overwritten in your tools without your go-ahead, and removed rows are kept in an export.

Which tools can it check?

Any export or pasted rows, Google Sheets once connected, and the database, warehouse, Airtable base or CRM you use when it is in the Rerun catalogue.

Can I set my own quality rules?

Yes. It starts with common checks, then applies the rules you give it: required fields, valid values, which source wins in a conflict, what counts as a duplicate.

Can it tell me which table to use for an analysis?

Yes. It reads your schemas, dbt docs or data dictionary, checks with small queries, and answers with the tables, join keys, definitions, owners and caveats, keeping a catalog as it learns.

How much does it cost to run?

The template is free. Runs use your Rerun credit.

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