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Event Logs For Process Mining

Kaggle

@kaggle.carlosalvite_car_insurance_claims_event_log_for_process_mining

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Gain hands-on experience with a real car insurance claims use case.

Dataset Description

Description
This event log has been artificially generated and curated to provide a comprehensive view of car insurance claims, allowing users to discover and identify bottlenecks, automation opportunities, conformance issues, reworks, and potential fraudulent cases using any process mining software.

You can find more event logs here: https://processminingdata.com/

Standard Process flow:
“First Notification of Loss (FNOL)” -> “Assign Claim” -> “Claim Decision” -> “Set Reserve” -> “Payment Sent” -> “Close Claim”

Attributes:

  • case ID
  • activity name
  • timestamp
  • claimant name
  • agent name
  • adjuster name
  • claim amount
  • claimant age
  • type of policy
  • car make
  • car model
  • car year
  • date and time of the accident
  • type of accident
  • user type

Total number of claims: 30,000

Dates: Claims belong to years 2020, 2021, and 2022.

Disclaimer: Personal names are fake.


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