DATA MANAGEMENT · CLEANUP · MIGRATION · REPORTING

Turn Messy Business Data Into Reliable Information.

We clean, validate, standardize and consolidate business data so CRM records, spreadsheets, reporting and operational systems are easier to trust and maintain.

Raw Data

→

Clean

→

Validate

→

Standardize

→

Centralize

→

Report
COMMON DATA PROBLEMS

Duplicate Records

Customers, leads or vendors appear more than once with conflicting information.

Inconsistent Formats

Names, dates, phone numbers, statuses and categories are entered differently across files.

Disconnected Sources

Important information is spread across CRM exports, spreadsheets and departmental files.

Reporting Errors

Dashboards and management reports become unreliable when source data is inconsistent.

WHAT WE DO
01

Profile

Review structure, fields, duplicates, gaps and data quality issues.

02

Clean

Normalize formats, remove duplicates and correct known inconsistencies.

03

Validate

Apply practical rules and checks before migration or reporting.

04

Centralize

Prepare CRM-ready, spreadsheet-ready or reporting-ready datasets.

DATA FLOW
01Raw SourcesCRM, CSV, Sheets, Excel
→
02CleanDuplicates and formats
→
03StandardizeFields and definitions
→
04UseCRM, dashboard, reporting
TOOLS
SpreadsheetsExcel · Google Sheets
TransformationPower Query · Apps Script
SystemsCRM · Airtable · CSV / Database Exports
RELATED WORK

Executive Operations Dashboard

Clean operational data structured into decision-ready management views.

View Case Study →

Vendor & Client Management

Structured business records connected to ownership, assignments and follow-up.

View Case Study →

FAQ
Can you clean CRM data before migration?

Yes. Data cleanup before migration is often preferable to moving duplicates and inconsistent fields into the new system.

Can you merge several spreadsheets?

Yes, when the columns and business definitions can be mapped reliably. We identify conflicts before consolidation.

Do you validate email or contact data?

We can structure validation workflows and use appropriate verification methods where available, but validation should be described accurately rather than treated as a guarantee that every contact remains current forever.

Can the cleaned data feed a dashboard?

Yes. Data preparation and standardization are often necessary before reliable dashboards or reports can be built.

Can you automate ongoing data cleanup?

Some rules can be automated, while ambiguous matches and exceptions may still require human review.

Is unreliable data making your CRM or reporting harder to trust?

Review My Data