How Reliance leverages Vehicle Insurance Data to minimize Financial Loss and maintain a Competitive Edge
Let's take a simple look at how Reliance General Insurance Company Limited (RGICL) uses insurance data to make better decisions for helping their business.
Overview
Reliance General Insurance Company Limited (RGICL) has firmly established itself as a leader in the Indian general insurance market, known for its innovative solutions and customer-centric approach. Since its inception in 2000, RGICL has been committed to providing comprehensive and reliable insurance products tailored to meet the diverse needs of its customers. FY2022-23 was a landmark year for RGICL, as it crossed the significant ₹10,000 crore milestone in Gross Written Premium (GWP), reporting nearly 10% growth to reach ₹10,340 crores compared to ₹9,410 crores in FY 2021-22. This robust financial performance reflects the company's disciplined risk management and adaptability to changing market dynamics. RGICL's extensive reach, with over 139 branch offices and more than 28,900 intermediaries, is complemented by a multi-distribution model that includes Bank insurance, Agency, Broking, Direct Channels, and Digital tie-ups. The company's diverse product portfolio includes popular motor insurance plans with extensive coverage options and a high claim settlement ratio, supported by a vast network of cashless garages.
RGICL's vehicle insurance offers comprehensive coverage including third-party liability, own-damage cover, and a range of add-ons like zero depreciation and engine protection. The company has embraced digital transformation, offering customers the convenience of purchasing and managing policies online. Recognized for its excellence with awards such as the 'Best General Insurance Company' at the ABP News-BFSI Awards in 2019, RGICL continues to drive growth and excellence, backed by the dedication of its employees and the unwavering support of its shareholders.Now, let's dive into some insights (just for learning purposes!) on how Reliance General Insurance might analyze their data to better understand their Insurance practices.
About Dataset
Let’s Inspect our dataset.The vehicle insurance dataset contains (35067 rows and 65 columns) providing information about dealer, insurance policy, consumer, vehicle, financial, tax and registration.
1. Dealer and Consumer Information
Transaction Information
Dealer Name
Zone
State
Location
Consumer
Policy Type
Spice Route Auto Haven
Central
Madhya Pradesh
Gwalior
Mr. GUNDE GOWDA D J
TP Renewal
Lotus Lake Auto Hub
South
Telangana
Suryapet
Mr. SHARANAPPA GOUD
TP Renewal
Green Valley Drives
West
Gujarat
Surat
Mr. REVANEPPA H MALAGI
TP Renewal
Indigo Autos
North-East
Nagaland
Kohima
Mr. RAVI S K
TP Renewal
Sunflower Auto World
North
Jammu and Kashmir
Srinagar
Mr. PRAKASHA S N
TP Renewal
2. Vehicle Details
Transaction Information
Brand
Product
Vehicle Type
Fuel Type
Transmission
Addon Product
Mercedes-Benz
A-Class
Hatchback
Petrol
Manual Transmission
Yes
MG Motor
Astor
SUV
Petrol
CVT (Automatic)
Yes
BMW
2 Series Gran Coupe
Sedan
Petrol
Manual Transmission
Yes
Datsun
redi-GO
Hatchback
CNG
Manual Transmission
No
Datsun
GO+
MPV
Petrol
Manual Transmission
Yes
3. Policy Information
Transaction Information
Policy
Date Policy Created
Date Policy Effective
Date Policy Expiry
Policy Term (Months)
ICICI Lombard General
25-02-2020
19-01-2018
19-08-2018
7
ICICI Lombard General
05-08-2020
03-01-2018
03-10-2020
33
ICICI Lombard General
01-02-2023
03-01-2018
03-08-2018
7
ICICI Lombard General
18-01-2021
03-01-2018
03-01-2020
24
ICICI Lombard General
13-09-2020
04-01-2018
04-01-2020
24
4A. Premium Details
Transaction Information
Insurance Declared Value
Addon Premium
RTI Premium
OD Premium
Third Party Liability
PA Cover
613784
7366
0
18371
12548
220
613784
7366
0
21123
12548
220
450734
7483
0
17586
12548
220
299716
0
0
3694
12548
220
577040
7271
0
20205
12548
220
4B. Coverage Liability and Taxes
Transaction Information
Legal Liability
Liability
Service Tax
Gross Premium
50
12818
5614
36803
50
12818
6110
40051
50
12818
5472
35876
50
12818
2972
19484
50
12818
5944
38967
5. Payment Details
Transaction Information
Payment Mode
Date of Cheque
Bank
Bank City
Installment
02-03-2020
KARNATAKA BANK LIMITED
BANGALORE
Direct Debit
20-08-2020
DHANLAXMI BANK LIMITED
BANGALORE
Direct Debit
03-02-2023
DHANLAXMI BANK LIMITED
BANGALORE
Direct Debit
23-01-2021
DHANLAXMI BANK LIMITED
BANGALORE
Installment
16-09-2020
SVC CO OPERATIVE BANK LTD
BANGALORE
6. Insurance Package and Financing Information
Transaction Information
Package
Financer
ADDON
HONDA FINANCES
ADDON
HONDA FINANCES
ADDON
HONDA FINANCES
STANDARD
HONDA FINANCES
ADDON
HONDA FINANCES
7. Vehicle Registration and Pricing
Transaction Information
Road Tax
Registration Charges
On-road Price
2824390
13570
16973960
1739260
20000
10459261
1739260
20000
10459261
1739260
20000
10459261
1739260
20000
10459261
Dealer Information Columns
Transaction Information
Field
Description
dealer_name
Name of the dealer
zone
Geographical zone
state
State information
location
Location details of dealer
Policy Information Columns
Transaction Information
Field
Description
policy
Name of the insurance policy
pol_id
Policy ID Number
dt_pol_create
Date when policy is created
dt_pol_effect
Date when policy will be effective
policy_term_month
Policy term in months
dt_policy_expiry
Policy expiry date
Consumer and Vehicle Details Columns
Transaction Information
Field
Description
consumer
Name of the consumer
pol_type
Type of policy (New, Renewal)
brand
Brand of the vehicle
product
Vehicle product name
add_on_prod
Additional Products associated with policy
vehicle_type
Type of the vehicle (hatchback, sedan, etc.)
fuel_type
Type of the fuel (Petrol, CNG, etc.)
transmission
Type of transmission (Automatic, manual)
Premium and Coverage Columns
Transaction Information
Field
Description
insurance_declared_value
Declared value for insurance
add_on_premium
Premium for additional products
rti_premium
Premium for Return to Invoice coverage
od_premium
Premium for Own Damage coverage
third_party_liability
Premium for Third-Party Liability coverage
pa_cover
Personal Accident cover premium
legal_liability
Legal liability premium
liability
Total liability premium
service_tax
Service tax amount
gross_premium
Gross premium
Payment Details
Transaction Information
Field
Description
payment_mode
Mode of payment (Installment, Direct Debit, Other)
dt_cheque
Cheque Issued Date
bank
Name of the Bank
bank_city
City of the Bank
Insurance Package and Financing Information Columns
Transaction Information
Field
Description
package
Insurance Package (ADDON, Standard, RTI)
financer
Financer details
fin_branch
Branch of the financer
Vehicle Registration and Pricing Columns
Transaction Information
Field
Description
road_tax
Road tax amount
registration_charges
Registration charges
on_road_price
On-road price of the car
How Reliance General Insurance Uses Vehicle Insurance data
To start with the analysis of insurance sector, it is necessary to follow the 4 factors of Data Analysis and that are :
1. Identify the users or stakeholders for the analysis.
2. Design Empathy Map to define Users' Goals and Challenges or pain points.
3. Identify Metrics or KPIs Matter the Most.
4. Understand the Objectives and Goals.
5. Ask Business Questions
I know it looks a bit overwhelming, that's why in this article, we'll lay the foundation for a top-notch insurance analysis.
Step 1: Identify the users or stakeholders for the analysis
Define the User or stakeholder who will use the vehicle insurance analysis data story. In our case, We’ll use an Insurance Manager. Recognizing their diverse needs, challenges, and priorities becomes the cornerstone for tailoring an effective data story.
User Persona: Business Analyst
Responsibilities:
Assessing and managing risks associated with insurance policies.
Developing and implementing insurance strategies to minimize financial loss.
Evaluating and underwriting insurance applications.
Overseeing claims processing and ensuring timely settlements.
Analyzing market trends and competitor offerings to stay competitive.
Needs:
Access to comprehensive data on insurance claims, policyholders, and market trends for analysis and decision-making.
Tools for risk assessment, underwriting, and claims processing.
Regular updates on policy performance, claim status, and market dynamics.
Training and resources to stay updated on changes in insurance regulations and industry best practices.
Collaboration with actuaries, underwriters, and claims adjusters to effectively manage risks and claims.
Challenges:
Balancing risk assessment to determine appropriate premiums without pricing out potential customers.
Handling complex claims and ensuring fair and timely settlements.
Adapting to changes in insurance regulations and compliance requirements.
Competing with other insurance providers in a crowded market while maintaining profitability.
Addressing fraudulent claims and ensuring the integrity of insurance processes.
Step 2: Design Empathy Map
To truly connect with the experiences and expectations of Business Analysts, the creation of an empathy map is invaluable. This visual tool allows for a deeper understanding of the emotions, aspirations, and pain points of users.
By empathizing with their perspectives, we can design a data story that not only meets functional requirements but also resonates with the human elements of their roles.
Step 3: Identify the Key Performance Indicators (KPI’s)
The heartbeat of any analysis lies in KPI’s and their Metrics. It's crucial to identify the KPIs that matter most to achieving the defined objectives and by focusing on the most relevant metrics, organizations can gain actionable insights into their insurance policies.
Transaction Information
KPI Name
Formula
Description
Average Policy Term
Sum of policy term months / Total number of policies
The average duration of insurance policies in months.
Average Premium per Policy
Sum of Gross Premium / Total Number of Policies
The average premium cost for the policies issued.
Add-on Uptake Rate
Number of Policies with Add-ons / Total Number of Policies * 100
The percentage of policies that have add-ons attached.
Renewal Rate
Number of renewed policies / Total number of policies * 100
The percentage of policies that are renewals out of the total number of policies.
Payment Mode Preference
Number of Policies per Payment Mode / Total Number of Policies * 100
The percentage preference of payment modes among policyholders.
Step 4: Understand the Goals & Objectives of User
Now, on the basis of Empathy Map and KPI’s, we need to define our goals and objectives of the Users. So, that it will align with the data story functionalities to ensure decision making. Here are the Key Objectives & Goals :
Objective :
Enhance portfolio performance by targeting high-value segments and refining risk assessment models. Utilize customer feedback to enhance product offerings and service quality, aiming for higher satisfaction rates. Strengthen team leadership through continuous training and mentoring, fostering innovation and collaboration to achieve performance goals.
Goals : Drive portfolio growth by increasing policy creation volume, enhancing conversion rates, and boosting policy renewal rates for premium revenue growth. Foster a high-performance culture within the team through skill enhancement for agents and analysts. Ensure strategic alignment with broader business goals by synchronizing team activities.
Step 5 : Ask Business Questions
Beyond KPI’s, organizations must engage in business-driven inquiry. This involves asking strategic questions that directly align with overarching business objectives.
What is the trend of policy creation over the time? Monthly and Yearly?
What is the total insured value yearly?
How are the average gross premium and policy counts across different policy types?
What is the distribution of policies by zone?
How can the gross premiums be compared across different states?
How are different brands in terms of average insurance premium?
Q.1. What is the trend of policy creation over the time? Monthly and Yearly?
Metric: Policy Count, Year , Month
Observations: some text
In 2021, the number of policies created spiked up and In 2022, it decreased very badly and started increasing after that.
Q.2. What is the total insured value yearly?
Metric: Total Insured Value, Year
Observation:some text
There is not much difference in total insured value of vehicles. Although the number of policies created in 2021 spiked and dropped in 2022, the difference is minimal.
Q.3. How are the average gross premium and policy counts across different policy types?
Metric: Average Gross Premium, Policy count
Observation:some text
In terms of average gross premium, ‘New’ vehicles are leading the chart followed by TP Renewal and NTP Renewal, while in terms of counts, ‘TP Renewal’ leads the chart followed by New and NTP Renewal.
Q.4. What is the distribution of policies by zone?
Metric: Policy Count
Observations:some text
The South region has the highest share of policies created with 22.2%, followed by West, North, Central and East, while regions of North-East and Islands contributed very less.
Q.5. How can the gross premiums be compared across different states?
Metric: Gross Premium
Observation:some text
Average gross premiums across states are quite similar but states like Gujarat, Karnataka, Uttar Pradesh, Haryana, Maharashtra, Telangana had the large value as outliers.
Q.6. How are different brands in terms of average insurance premium?
Metric: Insurance Premium
Observation:some text
In terms of average insurance premium, Nissan, Toyota and Honda are the brands with high values. Hyundai had taken the last place for average insurance premium.
Conclusion:
With this analysis, we can understand the general overview of the vehicle insurance industry in India. As we can observe, the number of policies changed over the years, with a spike in 2021 and dip in 2022, but that had minimal effect on total insured value. Further, we analyzed how different regions and states are contributing to the overall sales of insurance policies. In addition, we analyzed the average insurance premium across different brands in our dataset to get an idea of brands positioning.
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