Initial alignment and drift

Business data synchronization services

Switching on synchronisation between systems that already disagree spreads the disagreement. If the CRM and accounting system hold different addresses for the same customer, or the shop and warehouse list products under different codes, the first sync can overwrite good data with bad or create duplicates everywhere. A data synchronisation service starts by aligning existing records: cleaning, matching and linking them. Only then is ongoing sync switched on, with monitoring to catch drift.

This page explains how to bring systems into line before synchronising them, and keep them that way.

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Illustrative diagram

  1. Extract
  2. Clean
  3. Match
  4. Review
  5. Link
  6. Sync and monitor
From disagreement to sync. Align, then synchronise, then watch.

Aligning systems before sync

  1. Extract

    Records exported from each system.

    Output: Comparable lists

  2. Clean

    Formats standardised; obvious errors fixed.

    Output: Tidy data

  3. Match

    Records paired automatically where confident.

    Output: Matched pairs

  4. Review

    Uncertain matches checked by staff.

    Output: Confirmed links

  5. Link

    Identifiers stored on both sides.

    Output: Ready to sync

People decide the doubtful cases

Automatic matching handles the clear cases, such as identical email addresses or product codes. Others are uncertain: 'J Smith Ltd' and 'John Smith Limited' at similar addresses, or two products with similar names but different pack sizes. These should be listed for review by staff who know the customers or products, with a simple way to confirm, reject or merge. Guessing at scale creates errors that are much harder to unpick later.

Keep a record of decisions, so the same question is not asked twice.

Watching for drift

Drift reports
ReportShows
Unlinked recordsNew records in one system with no partner in another
Field differencesLinked records whose key fields disagree
Failed syncsChanges that did not reach the other system
Possible duplicatesNew records that look like existing ones

Common cleaning tasks

Customers

  • Consistent company names and legal suffixes
  • Postcodes and phone numbers formatted
  • Email addresses lowercased and trimmed

Products

  • Consistent codes and variants
  • Units and pack sizes aligned
  • Discontinued items marked

General

  • Test and dummy records removed
  • Obvious duplicates merged
  • Required fields filled or flagged

Switching sync on carefully

Once records are linked, switch synchronisation on in stages: one record type at a time, first in a test copy, then live with close monitoring. Run the first sync in a report-only mode where possible, listing what would change without changing it, so surprises are caught before they touch live data. After go-live, compare key counts and a sample of records daily for the first weeks.

Agree in advance how to pause synchronisation if something unexpected happens.

Ongoing ownership

Someone in operations should own each record type's quality: reviewing drift reports, resolving uncertain matches and deciding on standards. Without an owner, small inconsistencies build up again, and the next clean-up is as large as the first. Short weekly reviews are usually enough once the initial alignment is done.

Historic records

Decide how far back to align. Active customers and current products matter most; very old records may be archived rather than matched, saving effort.

Surprises alignment often reveals

  • Hidden duplicates

    The same customer under several accounts in one system.

  • Shared contacts

    One email used by several people or companies.

  • Code reuse

    Old product codes reused for new products.

  • Missing links

    Orders or invoices with no matching customer record.

Regular reconciliation

Beyond drift reports, a periodic reconciliation compares totals between systems: number of active customers, products listed, open orders, invoice values. Differences point to records that need investigating. Automating the comparison and sending only exceptions to the data owner keeps the effort small while giving confidence that systems still agree.

Monthly reconciliation suits many businesses; weekly or daily may be needed where money or stock depends on it.

When a new system joins

Adding a new product to the set means another alignment: its existing records must be matched and linked before it joins synchronisation. Including this step in the plan for any new system prevents the problem returning. The third-party software pages cover checking a product's integration readiness before buying it.

What you should receive

Expect a matching report, the decisions on uncertain matches, linked identifiers on each system, drift reports set up and a named owner for each record type.

Standards for new data

After alignment, agree simple standards for entering new records, such as how company names, addresses and product codes are written, and add checks in each system where possible. Prevention at entry keeps drift low and future reconciliation light. Briefing the staff who create records most often makes the biggest difference.

Back up first

Take backups of each system before alignment changes are applied.

Questions about business data synchronization services

Why align data before syncing?

Syncing systems that disagree can spread errors and duplicates.

Who decides uncertain matches?

Staff who know the customers or products, using a simple review list.

What is drift?

Records gradually falling out of step despite synchronisation.

How is drift caught?

Regular reports of unlinked records, field differences and failed syncs.

Can matching be fully automatic?

For clear cases; doubtful ones need human review.

What happens to duplicates found?

They are merged in the master and copies relinked.

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