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What is claims data
Information collected during a claim, including loss details, payments, reserves, injuries, litigation, and cause of loss.
What is data mining
Analyzing large amounts of data to find patterns and trends.
What is predictive analytics
Using historical data to predict future outcomes.
What is business intelligence (BI)
Tools and methods that turn data into useful information for decisions.
What is a dashboard
A visual display of important data, metrics, and trends.
What is a KPI
Key Performance Indicator; a measure used to evaluate performance.
Name three common claims KPIs.
Cycle time, Closure rate, Litigation rate
What is a red flag
An indicator of possible fraud or unusual activity.
What is fraud detection analytics
Using data to identify potentially fraudulent claims.
What is an outlier
A claim or pattern that differs significantly from normal results.
What is telematics
Technology that automatically collects and transmits vehicle data.
What type of information can telematics provide
Speed, Braking, Location, Mileage
What is the Internet of Things (IoT)
Devices that automatically collect and share data.
Give three examples of IoT devices.
Water sensors, Smart thermostats, Vehicle sensors
What is artificial intelligence (AI)
Technology that performs tasks requiring human-like intelligence.
What is machine learning
AI that improves as it processes more data.
What is trend analysis
Looking at data over time to identify patterns.
What is benchmarking
Comparing performance against a standard or peer group.
What is root cause analysis
Determining the underlying reason a loss occurred.
Frequency vs. Severity
Frequency = How many losses, Severity = How costly are the losses
What is claim frequency
What is claim severity
How costly losses are.
What is loss ratio
Claims costs divided by premium.
High loss ratio means what
Claims costs are consuming a larger portion of premium.
What is cycle time
The average time needed to close a claim.
What is blockchain
A secure digital record that is difficult to alter.
Which technologies COLLECT data
Telematics, IoT
Which technologies ANALYZE data
Data mining, Predictive analytics, Machine learning
Which tools DISPLAY data
Dashboards, Business Intelligence (BI)
Which tools MEASURE performance
KPIs, Benchmarking
Which tools IDENTIFY or DETECT risk or fraud
Fraud analytics, Outlier analysis, Red flags