A customer updates their address with your sales rep. Accounting still has the old one. The shipping label goes to the wrong place, and nobody can say which system was right. If that sounds familiar, you have a data drift problem.
Almost every growing business runs into it. The fix is not one magic platform. It is a clear decision about where each type of data lives, plus a sensible way to keep everything else in step.
Why data drifts
Drift happens for ordinary reasons. Each tool was added to solve a specific problem, and each one keeps its own copy of the same customers, products or orders.
- People update whichever system is in front of them, so changes land in different places.
- Integrations were set up quickly, sync only some fields, or only sync one way.
- A connector fails quietly and nobody notices for weeks.
- Spreadsheets get exported, edited and never imported back.
- Different tools format the same data differently, such as phone numbers, province names or product codes.
None of these is a disaster alone. Together, they produce duplicate customers, wrong inventory counts and reports nobody trusts.
Choosing a system of record
A system of record is the one place that holds the official version of a particular type of data. Everything else either reads from it or sends changes to it.
The key insight is that you choose a system of record per type of data, not one for the whole business. A common pattern for a small retailer might look like this: the e-commerce platform owns products and orders, the accounting system owns invoices and payments, and the CRM owns contacts and sales activity.
To decide, ask three questions for each type of data. Where is it created most often? Which team is responsible for keeping it accurate? Which system has the strongest rules and validation for it? Usually the answers point to the same tool.
Write it down
Make a simple one page table listing each type of data, its system of record, who owns it and which other systems receive copies. It takes an hour, and it becomes the reference everyone uses when setting up a new tool or troubleshooting a mismatch.
Sync strategies
Once you know where data lives, you need a way to move it. There are a few common approaches, and most businesses use a mix.
- One way sync: the system of record pushes changes out and other systems only receive. This is the simplest and safest option.
- Two way sync: changes can be made in either system and flow both directions. Convenient, but much more prone to conflicts.
- Event driven: webhooks or similar notifications send changes the moment they happen, which keeps systems close to real time.
- Scheduled: a job runs every few minutes, hourly or nightly to copy changes. Slower, but easier to reason about and recover.
- Read on demand: instead of copying data, one system looks it up from the source when needed, so there is nothing to drift.
Start with one way sync wherever you can. Every two way sync you add is another place where conflicts can appear. A good event driven sync paired with a nightly reconciliation job, which compares records and flags differences, gives you speed and a safety net.
Use stable IDs to match records. Matching customers by name or email alone eventually goes wrong when someone changes their email or two people share a name. Store each system's ID against the record in the others.
Handling conflicts
Conflicts happen when the same record is changed in two places before a sync runs. You need a rule decided in advance, not a judgement call made at midnight.
The simplest rule is that the system of record wins. If accounting owns billing addresses, a change made in the CRM is either blocked or overwritten. Another common rule is that the most recent change wins, which works only if every system records reliable timestamps. For important fields, such as prices, credit limits or tax details, it is often better to flag the conflict for a person to resolve than to pick a winner automatically.
Whatever you choose, log every conflict. A rising number of conflicts usually means a process problem, such as two teams editing the same data, rather than a technical one.
Keeping it healthy
Data quality decays without attention. Assign an owner for each type of data, monitor sync failures with alerts, and run a duplicate check every month or so. When you add a new tool, decide its role before connecting it, not after.
It also helps to make the system of record the easiest place to make changes. If your sales team can update addresses in a couple of clicks in the CRM, they will stop editing them elsewhere.
Our recommendation
Pick a system of record for each type of data and write it down. Prefer one way syncs, match records by ID, decide conflict rules in advance and add a reconciliation check as a safety net. You do not need to replace your tools to get a single source of truth. You need clear ownership and integrations that respect it.
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