Querri for Data Migration List Cleaning and Reformatting for Quick & Seamless Migration

Querri helps you clean, standardize, and format messy data lists in minutes, so your migrations, uploads, and syncs work the first time.

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Why Dirty Lists Break Migrations

Anyone who's tried to move a customer list, vendor record, or CRM export knows the pain.

Migrations fail due to missing fields, inconsistent formats, duplicates, or junk entries.

You waste hours fixing errors after the fact or worse, upload bad data that causes issues downstream. It's one of the most tedious and error-prone tasks in business operations.

Dirty data analysis problems
Querri data cleaning interface

How Querri Makes List Cleaning Fast and Painless

With Querri, just upload your file and describe what needs fixing. You can even tell it exactly which way you want the data to be formatted and it does it for you.

It detects issues like inconsistent state codes, duplicate entries, missing values, and formatting quirks.

Then it applies best-practice fixes automatically.

Whether you're prepping for a CRM import or syncing records between systems, Querri gets your data ready to move fast.

What You'll Gain from Clean, Reliable Lists

Fewer Migration Errors

Data Loads That Work the First Time

Cleaner, More Trustworthy Systems

Less Manual Cleanup

Better Analytics from the Start

How-To in Five simple steps:

1

Upload Your List

Bring in your contact, customer, lead, or vendor list (Excel, CSV, Google Sheet, or from cloud storage).

2

Identify and Fix Problems

Querri flags issues like duplicates, inconsistent formatting, missing values, and outliers. Prompt: "Fix phone number formats and flag any missing states." Prompt: "Remove duplicates based on email and full name."

3

Standardize Key Fields

Turn inconsistent values into standardized ones (e.g., "CA," "California," and "Calif." → "CA"). Prompt: "Standardize state names into 2-letter abbreviations." Prompt: "Normalize company names and flag possible typos."

4

Preview and Export

Review the cleaned file, then export it for upload or sync.

5

Automate the Process

If this is a recurring task, click "Automate" to save the cleanup process for next time.

How to clean data for migration with Querri

Best Practices:

Start With a Clear Key

Start by defining what makes a record unique—email address, phone number, or a combo of name + company. This is key to reliable deduplication.

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

Don't Skip the Review Step

Even if Querri handles cleanup automatically, always scan the preview for edge cases or false positives before exporting.

Automate for Reuse

If you do regular list uploads or CRM syncs, set Querri to auto-clean and reformat with a saved workflow

Data migration best practices

FAQs:

What if my list has lots of missing fields?
Querri will flag the blanks and give you options to fill them with defaults, the most common value, or leave them blank.
Can I merge multiple lists before cleaning?
Yes. Querri supports merging datasets and will detect and resolve overlapping records.
How does Querri decide what a duplicate is?
You can define it—e.g., "Same email," or "Same name and company"—and Querri will dedupe accordingly.
Will it fix inconsistent phone or date formats?
Absolutely. Just say "Standardize phone numbers" or "Unify date formats," and Querri handles the rest.
Can I automate this every time a new list comes in?
Yes. Once you define the rules, click "Automate" and apply the workflow to future uploads in seconds.
Frequently asked questions about data migration

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