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Business meaning for insurance analytics

Give every claims question a clear business definition.

Connect the meaning behind premium collections, claims payments and recoveries to the analysis your teams use. Duodata gives business and data teams a shared foundation for insurance reporting and AI workflows.

For:
Insurance finance and operations · Claims analytics · Business analysts · BI and data teams
Industry:
Insurance
Questions people ask

The questions

  • “How did claims payments change relative to premium collections?”
  • “Which payments and recoveries belong in this reporting period?”
  • “How do we carry an agreed definition into the data platform and the next AI question?”
Worked example

One insurance question, with the calculation made explicit

Question

“Premium collections grew. Why did our net claims payment ratio rise?”

Net claims payment ratio · All lines

Premium collections grew 10.0%. Net claims payments grew 34.4%.

The net claims payment ratio rose from 45% to 55%. The Motor line accounts for the $310,000 increase in net claims payments.

Next question: how much of the Motor change in net claims payments comes from payment volume, payment size or timing?

Fictional dataset (USD)

Premium collections, claims payments and recoveries by quarter and line
QuarterLineCollectionsPaymentsRecoveriesRatio
Q2Motor$1,200,000$660,000$60,00050.0%
Q2Property$800,000$340,000$40,00037.5%
Q3Motor$1,400,000$980,000$70,00065.0%
Q3Property$800,000$340,000$40,00037.5%
Q2All lines$2,000,000$1,000,000$100,00045.0%
Q3All lines$2,200,000$1,320,000$110,00055.0%

Fictional teaching dataset. A defined operating cash measure, not an accounting, regulatory or performance statement about any insurer.

How it works

From definition to shared understanding

  1. 01

    Make the business definition explicit

    Agree which payments, recoveries and reporting dates belong in the measure. Keep its meaning and responsible owner visible to the people who use the result.

  2. 02

    Connect it to the data

    Map the definition to the fields and calculations on your platform. Business and data teams can inspect the relationship between the question and the implemented measure.

  3. 03

    Carry the meaning into AI analysis

    Give AI workflows a shared reference for the metric, its scope and its relationships. Use the first answer to identify the next useful question and keep new definitions reviewable.

Technical bridge

Connect the question to the implementation.

Follow the metric from business definition into schema mappings, platform semantics and the AI workflow. Explore the Snowflake and Databricks implementations at the depth your team needs.

Scoped proof of concept

Bring your use case

Bring a claims, premium or reporting question your team wants to answer with AI.

  • 01One business question
  • 02One owner of the definition
  • 03The data it depends on
  • 04The result you expect
  • Bring your use case