Querri for Cleaning Lists How to Fix Dirty Data Before It Derails Your Decisions

Messy lists are the silent killer of business insights...duplicates, typos, and format issues all get in the way. Querri makes it easy to clean and standardize your lists so you can trust your data and move forward faster.

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Why Dirty Lists Wreck Your Analysis

Whether it's customer names, product SKUs, or email lists, most business data starts as a mess. Duplicates, inconsistent formats, typos, missing fields, and case mismatches make it hard to count, join, or analyze anything accurately. You spend hours patching things in spreadsheets, then hope nothing breaks the next time.

Dirty data analysis problems
Querri data cleaning interface

Querri Turns Messy Lists into Reliable, Ready-to-Use Data

Querri lets you upload your list—no matter how messy—and get clean, deduplicated, and standardized results in minutes.

Just describe what you want: "Clean up inconsistent capitalization and spacing in customer names," and Querri does the rest. It highlights issues, suggests fixes, and transforms your data automatically.

You can preview, edit, and export a clean list—ready for analysis, outreach, or reporting.

Business Outcomes of Cleaned Lists

Clean, Deduplicated Lists You Can Trust

Hours Saved on Manual Fixes

Better Reporting, Forecasting, and Insights

Higher Deliverability for Campaigns

Seamless Joins and Integrations

How-To in Five simple steps

1

Upload Your List

Connect a spreadsheet, CSV, or pull from Dropbox, Sheets, or another cloud source

2

Profile the Data

Querri scans for missing fields, inconsistent formats (like dates, phone numbers, states), and duplicated rows.

3

Clean It Up

Use prompts like: "Remove duplicates based on email and name" "Fix inconsistent state abbreviations" "Standardize casing for names and addresses" "Flag incomplete rows with missing phone numbers"

4

Review and Approve

See suggestions and choose what to apply. You stay in control.

5

Export or Automate

Download the cleaned list or set it to auto-clean on upload for future runs.

How to clean data with Querri

Best Practices

Start With a Clear Key

Know what field(s) define a duplicate—email, name + address, SKU, etc. This makes deduplication reliable.

Watch for Hidden Inconsistencies

"New York" vs. "NY", "Inc." vs "Incorporated"—small differences break joins and analyses. Use Querri to standardize categories and text fields

Segment Before You Clean (Optional)

If your list has multiple types of entries (e.g., vendors and customers), segment them first. Different types often need different rules.

Automate for Reuse

If you regularly pull data from the same source, set up auto-cleaning rules in Querri so your lists stay ready to go.

Data cleaning best practices

FAQs

What if I'm not sure what's wrong with the list?
Just upload it and ask Querri to "scan for common issues." Querri will flag missing fields, duplicates, typos, and formatting inconsistencies.
Can Querri clean lists with names, emails, and phone numbers?
Yes. You can ask to standardize names (capitalize properly), deduplicate by email, and fix phone number formatting.
What if my list has data from multiple sources?
Querri can merge lists and help align formats across them. Use prompts like "Merge and deduplicate these customer lists by email."
Can I customize the cleaning rules?
Absolutely. You can ask for specific rules like "Only keep the most recent row per email" or "Exclude test records."
What formats can I export the cleaned data in?
CSV, Excel, and JSON are supported.
Will Querri show me what was changed?
Yes. Every change is transparent, and you can download a change log or undo steps if needed.
Frequently asked questions about data cleaning

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