Claims Analytics Use Case

Last modified: October 27, 2022

Auto Insights can help insurance teams automate claims performance analysis, drill into claims trends and spot anomalous claim rates.

This article covers:

  • Example insights from this use case

  • Recommended data structure for this use case

What sort of insights can Auto Insights help me uncover?

We've outlined some example questions that Auto Insights can help answer through a combination of its proactive insights, Missions and What caused this? analysis:

Automate claims performance analysis

  • Number of Claims by Department

  • Average Time to Payment by Agent

  • Number of Claims by Policy Type

  • Trend of Claims by Claim Reason in Sydney

  • Seasonality of Claims

  • Compare Claim Amounts for Theft in Metropolitan and Regional areas

  • Average Time to Close Claims by Department and Claim Type

Spot anomalous claim rates

  • Average Number of Claims per customer

  • Claim Amount by Claim Reason in Sydney

  • Top 20 Claims by Claim Amount and Claim Reason last quarter

How do I structure my data?

  • Auto Insights requires structured, transactional data, with at least 1 measure (e.g. Number of Claims) and 5 segments (e.g. Claim Type). In addition, we recommend at least 7 months of data (at monthly or daily granularity) so you can take full advantage of Auto Insights' Unexpected Changes feature.

Example data structure

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Example data structurePlease refer Dataset Requirements for more information about data structure.


Here are some of the typical segments we find in revenue data. A segment is a qualitative value, like names or categories:

  • Claim attributes: Claim reason, Claim type, Team, Department etc.

  • Policy attributes: Policy type, Policy name, Months since last claim, Agent assigned, claim channel, coverage type etc.

  • Claimant attributes:, Age, Gender, Location, etc.


A measure is a quantitative, numeric value. Some of the typical measures include customer ID, number of claims, claim amount, time to close claims, time to payment etc.


Related Articles

Quick Guide to Find and Create Insights

Dataset Requirements


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