Use Case

Data Migration Prep

Prepare old exports, spreadsheets, and business records before a platform change or system migration. Valiance Labs cleans, maps, validates, and structures the data before it enters the next system.

Why teams ask for this

Migration prep is a data preparation problem before it is a platform problem.

Teams usually look for help when a new system is ready, but the old exports are duplicated, incomplete, inconsistent, or not mapped to the new structure.

A new platform will not clean old records by itself

Duplicate accounts, stale statuses, missing values, and unclear IDs can become new-system problems if they move untouched.

Migration decisions need to be explainable

The team needs to know which records move, which fields map, which values need review, and what should be left out.

Where this shows up

Where data migration prep shows up.

The pattern appears before a team changes tools, retires spreadsheets, or moves old records into a new system.

  • CRM migrations
  • project management tool migrations
  • spreadsheet-to-SaaS transitions
  • product catalog migrations
  • customer, vendor, or contact list migrations
  • accounting or software imports with agreed project boundaries
  • Airtable, Notion, ClickUp, Asana, or Monday transitions
  • old system exports that need cleanup before a new tool

Why files get messy

What usually makes migration data messy.

Migration risk often starts in old exports and spreadsheets before the new platform is involved.

  • duplicate records
  • old statuses or categories
  • fields do not map to the new platform
  • missing required values
  • inconsistent names, dates, or categories
  • outdated records
  • messy exports from old systems
  • source IDs need to be preserved
  • invalid rows need review

What the workflow prepares

What the workflow prepares.

The preparation workflow gets the source data ready for a migration vendor, import tool, or new platform workflow.

  • old system exports
  • CRM, contact, customer, vendor, or product lists
  • project or task exports
  • platform export files
  • spreadsheets used as databases
  • migration import templates

What changes when the workflow is structured

Old data is reviewed before it moves.

The source data, mapping decisions, and review rows are made clearer before the import file or migration handoff is used.

  • old exports are cleaned before they move
  • source-to-target fields are documented
  • missing required values are visible
  • invalid rows are separated for review
  • migration-ready files are easier to explain

What you get back

Potential migration-prep outputs.

The output should help the team review what is ready, what needs mapping, and what should not move forward yet.

  • migration-ready dataset
  • cleaned source export
  • mapped fields
  • deduped records
  • validation/error report
  • mapping documentation
  • import-ready CSV
  • rejected-row list

Existing tools

Migration tools may already be enough.

Platform migration tools, import templates, spreadsheets, CRM importers, scripts, and migration vendors may be enough when the data is already clean and mappings are straightforward. Valiance Labs works alongside those tools when exported data needs cleanup, field mapping, duplicate review, or validation before the migration.

Use the migration path when source data is clean

If records are current, fields map clearly, and required values are present, the platform or migration vendor may not need extra prep.

Prepare first when old data carries risk

Duplicate records, stale fields, missing values, unclear mappings, and invalid rows should be resolved or surfaced before migration.

Sensitive data

Data access should match the work.

Migration prep may involve old system exports, customer, vendor, or contact records, historical records, IDs, statuses, and account data. Valiance Labs can often begin with source schema, target import structure, masked records, mapping notes, and representative invalid rows before live data is used.

Minimum necessary data

The project can focus first on the source structure, target requirements, mapping rules, and records that show the review needs.

Representative migration examples

Source and target field lists, masked records, import templates, mapping notes, and invalid-row examples can show where migration prep is needed.

Production access by agreement

If live exports are needed, the sharing method, access level, storage, retention, and handling expectations should be agreed before production files are used.

Project start

Discuss a data migration prep project.

Tell us what system is changing, what old exports need preparation, and which records or fields already need review.

Start a project

Talk through the file workflow your team wants to fix.

Use the form to describe the recurring files, cleanup steps, review needs, and output your team wants prepared. No upload is required to start the conversation.