Duplicate cleanup or review
Identify repeated rows or records and separate clear duplicates from records that need judgment.
Data Preparation Capability
Data Cleansing Services
Clean messy spreadsheets, CSVs, exports, CRM records, vendor files, and business data before they move into reporting, dashboards, imports, migrations, or analysis.
Problem
Files can look usable until bad values make the output unreliable.
Data Cleansing fixes the obvious issues inside business files: duplicate rows, blanks, malformed values, broken dates, extra spaces, inconsistent casing, invalid rows, and old records that should not move forward.
Rows need cleanup before use
The file may open cleanly, but duplicate records, blanks, and malformed fields can break the next step.
Small issues create downstream risk
A few bad rows can turn into failed imports, rejected records, unreliable reporting inputs, or review delays.
Cleanup rules need to be visible
The team should know what was fixed, what was removed, and what still needs review.
What this includes
What Data Cleansing includes.
The work is focused on fixing messy values inside the file before the data is used somewhere else.
Blank field handling
Flag or handle missing values based on the output requirements instead of silently guessing.
Malformed value cleanup
Fix obvious broken values, stray characters, inconsistent casing, and extra spacing where rules are clear.
Date and value cleanup
Clean broken date values, inconsistent safe formats, and values that need normalization before use.
Invalid row flagging
Separate rows that should be reviewed, excluded, or corrected before the output moves forward.
Obvious file issue cleanup
Address extra header rows, empty rows, old records, and file-level issues that make the data hard to use.
What Valiance Labs works with
Business files that often need cleansing.
Valiance Labs works with recurring files where cleanup rules can be made repeatable and reviewable.
- spreadsheets
- CSV files
- exports
- CRM exports
- customer, vendor, contact, or product lists
- operational reports
- system downloads
- platform import templates
- dashboard or report source files
- structured PDFs or reports where feasible
Clean output
What the cleaned output looks like.
The deliverable is a cleaner file plus the review artifacts needed to understand what changed.
cleaned CSV/XLSX
A cleaned file with obvious value issues fixed before import, reporting, migration, or analysis.
cleaned records
Rows prepared from customer, vendor, CRM, contact, product, or operational files.
duplicate review list
A reviewable list of duplicates or likely duplicates instead of hidden row removal.
invalid-row list
Rows that need correction, exclusion, or human judgment before the output is used.
cleanup notes
Short notes on cleanup rules, assumptions, and unresolved file issues.
clean spreadsheet for import
A file prepared for a CRM, platform template, dashboard input, report, or migration step.
Within Data Preparation
How Data Cleansing fits into Data Preparation.
Data Cleansing is one part of Data Preparation. A full data preparation workflow may also require standardization, mapping, consolidation, or validation depending on the files and desired output.
Data Preparation
The broader service for turning recurring business inputs into clean structured outputs.
Imports and Migrations
Useful when cleaned records need to enter a CRM, SaaS tool, database, or migration file.
Reporting and Dashboards
Useful when bad rows or duplicate records undermine a dashboard-ready dataset.
Analysis and Operations
Useful when analysts or operators keep cleaning the same business files before review.
Existing tools
We work alongside the cleanup tools your team already uses.
Excel, Power Query, OpenRefine, CRM import tools, Tableau Prep, and scripts can handle plenty of cleanup work when the file structure is stable and the rules are simple. Valiance Labs fits when cleanup keeps repeating, files change, validation matters, or the cleaned output needs to move reliably into another workflow.
One-time cleanup can stay simple
If a file only needs a one-time pass for duplicates, blanks, malformed values, or inconsistent formatting, an existing tool may be more practical.
Keep the tools that already work
If your team already has useful cleanup steps in Excel, Power Query, OpenRefine, Tableau Prep, a CRM importer, or a script, Valiance Labs can build around them.
Add structure when cleanup repeats
When recurring cleanup affects a clean output for an import, report, dashboard, migration, or analysis workflow, the rules and exceptions may need clearer structure.
When structure matters
When cleansing needs a repeatable workflow.
Valiance Labs fits when cleanup repeats, breaks, or feeds something important enough that hidden manual steps become a risk.
Recurring files keep arriving
The same messy export, CRM list, vendor file, or spreadsheet needs cleanup each cycle.
Formats change enough to break steps
Headers, dates, blank fields, duplicate patterns, or row structure shift over time.
The output feeds an important next step
The cleaned file supports an import, dashboard, report, migration, or analysis workflow.
Review matters
Some rows should be flagged instead of guessed, removed, or silently changed.
Project start
Start with the messy values your team keeps fixing.
Share the recurring file, the cleanup steps your team repeats today, and the output that needs the cleaned data.
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.