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One data model versus six integrations

Esther Howard's avatar

CA Rakesh Menon

May 28, 2025 • 6 min read
blog-details-cover

Introduction

Integration platforms manage the symptom. A shared model removes the cause. The difference matters more than it sounds.

The promise and the reality

Integration platforms promise to connect your tools, and they do. What they cannot do is make two systems agree about what a customer is.

When your CRM and your accounting system each hold a customer record, sync keeps them approximately aligned. Approximately is doing a lot of work in that sentence — and every reconciliation your team performs at month-end is the cost of the gap.

What unification actually means

A unified data model means there is one customer row, one item row, one employee row, and every module reads and writes it directly. There is no sync because there is nothing to sync.

This sounds like an implementation detail. It determines whether your reports need reconciling, whether your audit trail holds, and whether AI can answer a question that spans departments.

The AI consequence

This is where the architectural choice stops being abstract. An assistant confined to your CRM can tell you about deals. It cannot tell you why gross margin fell, because the causes are in purchasing, payroll and maintenance.

Cross-functional questions require cross-functional data in one place at query time. No amount of nightly synchronisation produces that.

The audit consequence

When there is one authoritative record, the change history on it is the complete history. When there are three copies, the audit trail tells you what happened to one copy.

Auditors notice this eventually, usually at an inconvenient moment.

When integration is still right

Not everything belongs in one system, and pretending otherwise is its own mistake. Payment gateways, courier aggregators, marketplaces and banks are external by nature — connecting to them is correct. The distinction is between connecting to the outside world and stitching together your own internal record-keeping.

In summary

None of this requires a transformation programme. It requires deciding where each piece of data is created, making sure it is only created once, and letting everything downstream read from that record instead of keeping its own copy.

CA Rakesh Menon, Head of Compliance at easyto.work.

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Comments

Esther Howard's avatar

Esther Howard

Apr 17, 2024

This matched our experience almost exactly. We moved off spreadsheets last quarter and the month-end close went from nine days to two.

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