Executive briefingFinance & regulation

IFRS 17 made insurance data a finance problem. Treat it as a data product.

IFRS 17 asks for contract-level data, grouped and measured consistently, with a trail from source to the reported number. The insurers that move fastest treat that trail as a reusable data product, not a reporting project.

5 min read By · Point of view

Key takeaways

  • IFRS 17 measures insurance contracts in groups and needs granular, consistent data across actuarial and finance1.
  • Reconciliation between policy, claims, actuarial and ledger systems is where the close slows down.
  • Lineage from the reported number back to policy and claim records is what auditors and supervisors ask for.
  • The same governed data serves reserving, reinsurance and AI use cases.

IFRS 17, the accounting standard for insurance contracts, requires insurers to measure contracts in groups using current estimates of cash flows, with a risk adjustment and a contractual service margin1. In practice, it pulled actuarial and finance data together at a level of detail many insurers had never reconciled.

Where the close slows down

The pressure points are familiar: premium, claims and cash that do not agree across policy, claims, bank and ledger; reinsurance recoveries identified late; and assumptions and cash flows that cannot be traced back to source without a spreadsheet chain. Each is a data problem before it is an accounting one.

  • Reconcile continuously: match premium, claims and cash across systems during the month, not at month-end.
  • Govern the inputs: treat contract-group, cash-flow and assumption data as critical data elements with owners and quality rules.
  • Keep the trail: attribute-level lineage from the reported figure to the policy and claim.
For executives

What this means for your bank

  1. Map reported IFRS 17 and solvency figures to governed definitions and lineage.
  2. Automate premium, claims and cash reconciliation with breaks explained.
  3. Use the same data products for reserving, reinsurance and analytics.
Put it to work

How DaasLabs can help

Finance, actuarial and regulatory reporting services.

Learn more

The Data Fabric Framework behind governed data products.

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Assess your data and AI maturity.

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Sources

  1. 1

Figures are drawn from the cited public sources. Opinions labelled “DaasLabs point of view” are our own.

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