Dataset: Event Logs For Process Mining

About this Dataset

Event Logs For Process Mining

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.

Tables

Insurance Claims Event Log

@kaggle.carlosalvite_car_insurance_claims_event_log_for_process_mining.insurance_claims_event_log

5.28 MB
180000 rows
14 columns


CREATE TABLE insurance_claims_event_log (
  "case_id" VARCHAR,
  "activity_name" VARCHAR,
  "timestamp" TIMESTAMP,
  "claimant_name" VARCHAR,
  "agent_name" VARCHAR,
  "adjuster_name" VARCHAR,
  "claim_amount" DOUBLE,
  "claimant_age" BIGINT,
  "type_of_policy" VARCHAR,
  "car_make" VARCHAR,
  "car_model" VARCHAR,
  "car_year" BIGINT,
  "type_of_accident" VARCHAR,
  "user_type" VARCHAR
);