Big data analysis to be used in fraud detection


KUALA LUMPUR: About 10% of the RM4.8bil in motor insurance claims in 2016 were fraudulent, according to ISM Insurance Services Malaysia Bhd chairman Kong Shu Yin.

"The 10% is based on international benchmarks, so we are talking about a potential RM480mil worth of fraudulent claims  from the motor segment last year," he said.

He was speaking to reporters at a press conference at the Malaysian Insurance Summit 2017 on Monday. 

Kong added that ISM is working on a Fraud Intelligence System (FIS) to detect and combat insurance fraud in the country.

"FIS uses big data analysis and we will pool together industry data to detect fraud in claims," he explained.

The FIS is expected to be made mandatory by August next year and the insurance industry has invested more than RM10mil in the system.

Kong said the FIS is expected to reduce fraud in motor insurance claims to 2% to 3% from 10% presently.

Get 20% OFF The Star Digital Access

Monthly Plan

RM 13.90/month

RM 11.12/month

Billed as RM 11.12 for the 1st month, RM 13.90 thereafter.

Best Value

Annual Plan

RM 12.33/month

RM 9.87/month

Billed as RM 118.40 for the 1st year, RM 148 thereafter.

Follow us on our official WhatsApp channel for breaking news alerts and key updates!

Next In Business News

Palm oil stockpiles set to reach fresh record
Pekat gets SC nod for Main Market transfer
ES Sunlogy bags Kerjaya Prospek job
Proton October sales hit 21,624 units, second-highest this year
RHB Bank, MEOA tie up to support sustainable plantation investments
S P Setia, HELP to develop international school in Bandar Kinrara
Pekat Group gets SC nod for Main Market transfer
RM20.27bil in tax refunds paid as at Oct 31, says Amir Hamzah
ES Sunlogy secures RM25.07mil in Penang subcontracts
RM14bil in unclaimed money as of September 2026, says Amir Hamzah

Air Pollutant Index

Note: API is calculated based on 24hr running average of the most dominant parameter.

Highest API Readings

    Select State and Location to view the latest API reading

    Others Also Read