import-ready CSV
A clean file aligned to the target import template.
Use Case
Imports and Migrations
Clean outputs can become import-ready files for CRMs, SaaS tools, product catalogs, vendor lists, contact lists, databases, and platform transitions. Valiance Labs prepares messy exports and spreadsheets before they enter the next system.
Prepared data first
Migration prep is a data preparation problem before it is a platform problem.
Imports and migrations often fail or become painful because the source files are messy before they ever reach the new tool. If exported data is duplicated, inconsistent, incomplete, or poorly mapped, the new system inherits the mess.
Data Preparation is the core service
Valiance Labs prepares messy business files so the downstream use has a cleaner source to work from.
The use case shapes the output
The same file preparation work can produce different outputs depending on what the team needs next.
Common inputs
Common messy inputs before imports and migrations.
These files often need cleanup, mapping, and validation before they can enter another system.
- CRM exports
- contact lists
- customer lists
- vendor lists
- product catalogs
- project/task exports
- old system exports
- spreadsheets used as databases
- SaaS exports
- CSV import templates
- legacy spreadsheets
What Valiance Labs prepares
What Valiance Labs prepares before import.
Valiance Labs prepares the file layer for import or migration. It does not need to own the full platform implementation to help.
Map fields to the destination
Align old fields, labels, and source columns to the new system's import format.
Deduplicate and normalize
Clean names, dates, statuses, categories, contact records, customer records, vendor records, or product data.
Check required fields
Flag missing values, malformed rows, rejected records, and values that need review before upload.
Preserve source IDs where useful
Keep source identifiers or mapping notes when they help with test imports, review, or rollback planning.
Clean outputs
Clean outputs for imports and migrations.
The goal is an upload-ready or migration-ready file, not a claim to run the entire platform change.
mapped field file
A source-to-destination field map for review before upload.
deduplicated contact/customer/vendor list
A cleaned list with duplicates and questionable records surfaced.
migration-ready dataset
Structured data prepared for a platform transition.
rejected-row or validation report
A reviewable list of rows that need attention before import.
clean spreadsheet for upload
A clean XLSX or CSV file for a system import workflow.
Existing tools
Built-in import tools may already be enough.
CSV templates, CRM importers, Airtable/Notion/ClickUp/HubSpot/Salesforce import tools, and migration services may be enough when the data is already clean and mapping is straightforward.
Use the platform importer when mapping is simple
If fields line up and the source data is already clean, the built-in import tool may be the right path.
Prepare the data first when old files carry risk
Valiance Labs fits when duplicates, missing values, old labels, inconsistent fields, or unclear mapping need review.
When structure matters
When import or migration prep needs structure.
Valiance Labs fits before the new system receives the data, especially when the exported files need cleanup and validation.
Exported files are messy
Old system exports, spreadsheets, or contact lists have inconsistent columns, labels, or values.
Fields do not map cleanly
The source fields do not match the destination template without mapping rules.
Duplicates need review
Contacts, vendors, customers, products, or projects need deduplication before upload.
Old categories need standardization
Statuses, labels, dates, names, products, and categories need normalization before migration.
Project start
Start with the export and the system it needs to enter.
Share the source export, import template, required fields, and any known duplicates or rejected rows.
Start a project
Start with the files and output you need.
Share the files your team works with, what cleanup happens today, and what the prepared output needs to support.