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Glossary · Data hygiene

What is data hygiene?

Data hygiene is keeping business records accurate, complete, and consistent across every system: one customer record, one job history, one set of numbers. In a service business it's the difference between reports you trust and reports you argue with.

At a glance
Duplicates, missing fields, and mismatched records are the usual damage
Dirty data breaks automation, attribution, and every report built on it
An audit finds it; rules and integrations keep it clean

Why it matters

Every automation, every report, and every marketing decision runs on your data. When the CRM has three records for one customer and half the jobs are missing a source, the automations misfire and the reports lie.

Clean data is also what a buyer verifies first. If the numbers can't be trusted, the price reflects it.

Data hygiene in one picture

Clean data means one record per customer, everywhere

Toggle to see what duplicates do to the systems downstream.

Duplicated

Three records for one customer, and each system reads a different one.

Clean

One record, one history, read by every system.

CUSTOMER
CUSTOMER
CUSTOMER
DISPATCH
INVOICING
REPORTS
THREE VERSIONS OF THE SAME CUSTOMER
How it shows up

Signs your data needs cleaning

Duplicate customers

The same homeowner exists three times, with three different job histories.

Blank and 'Other'

Lead source, job type, and technician fields left empty or defaulted, so nothing can be analyzed.

Reports that disagree

Dispatch says one revenue number, accounting says another, and nobody knows which is right.

Automations that misfire

Follow-ups sent to the wrong person, or not at all, because the record was wrong.
How to fix it

Clean once, then keep it clean

CALL
DISPATCH
ESTIMATE
3 HANDOFFS, 1 DEAD END
01 · AuditMeasure duplicates, missing fields, and mismatches across every system.
CUSTOMER
CUSTOMER
3 RECORDS
1 RECORD
02 · CleanDedupe, normalize, and backfill what can be recovered.
OLD SYSTEM
NEW SYSTEM
RECONCILED · RECORD BY RECORD
03 · Set rulesRequired fields, picklists, and ownership so bad data can't get in.
CALL
DISPATCH
INVOICE
REPORT
OWNER
THE SYSTEM RUNS THE JOB
04 · ConnectIntegrations that sync records instead of retyping them.

Related terms

The vocabulary around data hygiene, defined the same way: one question, one straight answer.

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FAQ

Straight answers

How often should data be cleaned?

Once properly, then continuously. The audit fixes the backlog; rules and integrations keep it from coming back.

Keep exploring

Data Hygiene Audit

The service: duplicates, blanks, and mismatches found and fixed.Data hygiene audit →

Data Migration

Move to a new platform without losing a single job record.Data migration →

Revenue Marketing Attribution

Every dollar traced to the job it booked, once the data can carry it.Attribution →

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