Source-to-target field mapping
Connect source columns and fields to the target fields required by the next workflow.
Data Preparation Capability
Data Mapping Services
Map messy source fields, columns, labels, and values to the structure your next workflow, import, dashboard, report, migration, or analysis needs.
Problem
The source file does not match the structure required by the destination.
Data Mapping decides where source data should go. It connects spreadsheet columns, export fields, old system labels, and source values to the target structure required by an import template, migration file, dashboard input, report, or analysis.
Source fields do not match the target
The export has one set of column names while the import, dashboard, report, or migration file expects another.
Some fields need interpretation
Old labels, source columns, and values may need assumptions or review before they can be placed correctly.
Missing mappings create rejected output
Unmapped fields and unclear target requirements can cause import errors or incomplete reporting inputs.
What this includes
What Data Mapping includes.
The work is focused on translating source structure into the structure your next workflow needs.
CSV or import template mapping
Prepare source files so they line up with CRM, platform, database, or SaaS import templates.
Old field to new field mapping
Translate legacy labels, exports, or system fields into the new structure for migration or import.
Category and value mapping
Map source values to target categories, statuses, or labels when the destination expects a defined set.
Spreadsheet column to output field mapping
Turn inconsistent spreadsheet columns into fields needed by dashboards, reports, imports, or analysis.
Mapping notes and assumptions
Document unmapped fields, review decisions, default values, and assumptions for the team.
What Valiance Labs works with
Business files that often need mapping.
Mapping matters when a source file is usable but does not match the structure required by the destination.
- spreadsheets
- CSV files
- old system exports
- CRM exports
- vendor, customer, contact, or product lists
- platform import templates
- dashboard or report source files
- migration prep files
- system downloads
- structured PDFs or reports where feasible
Clean output
What the mapped output looks like.
The output makes field placement reviewable before the file enters the next system or workflow.
mapped field file
A file with source fields aligned to the target fields required by the next workflow.
source-to-target mapping notes
A reviewable record of how old fields, source columns, and values map to the destination.
import-ready structure
A CSV or XLSX shaped for a CRM, platform, database, SaaS tool, or import template.
unmapped field list
Fields that do not have a clear destination and need review before upload or handoff.
mapping assumptions
Short notes on field choices, defaults, transformations, and unresolved mapping decisions.
dashboard or report source file
Mapped source data prepared for reporting, dashboarding, analysis, or report outputs.
Within Data Preparation
How Data Mapping fits into Data Preparation.
Data Mapping is one part of Data Preparation. A full data preparation workflow may also require cleansing, standardization, consolidation, or validation depending on the files and desired output.
Data Preparation
The broader service for shaping recurring business files into usable outputs.
Imports and Migrations
Useful when source fields need to match a platform import template or migration target.
Reporting and Dashboards
Useful when spreadsheet columns need to become dashboard or reporting fields.
Report Outputs
Useful when source fields need to feed a repeatable export, summary, or handoff file.
Existing tools
We work alongside existing import and mapping tools.
CRM import tools, SaaS import templates, spreadsheets, Power Query, databases, BI tools, and scripts can be enough when the source and target fields line up cleanly. Valiance Labs fits when messy exports need clearer mapping logic, missing-field review, source-to-target notes, or an import-ready structure your team can trust.
Import templates may be enough
If source columns already match the target fields and the upload is straightforward, the platform importer may be the right path.
Keep the mapping logic that works
If your team already has a useful import template, mapping workbook, Power Query step, or script, Valiance Labs can build around that logic.
Add structure when fields do not line up cleanly
When old fields, export columns, target fields, unmapped values, or migration assumptions need review, mapping notes and repeatable logic become more important.
When structure matters
When mapping needs structure.
Valiance Labs fits when mapping repeats, changes, or carries enough risk that field assumptions need to be explicit.
Recurring files need the same destination
Exports or spreadsheets repeatedly need to become the same import, dashboard, report, or migration structure.
Field names keep changing
Source columns, labels, or values shift enough that manual mapping becomes fragile.
Unmapped fields need review
Some source fields are ambiguous and should be surfaced instead of dropped or guessed.
The target rejects bad structure
Imports, migrations, dashboards, or reports depend on fields landing in the right place.
Project start
Start with the source file and the target structure.
Share the source fields, the import template or destination format, and any mapping assumptions your team already uses.
Start a project
Start with the files and the output you need.
Share the spreadsheets, CSVs, exports, reports, or business files your team works with, and what the cleaned output needs to support.