We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Credit Score Cards
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Modeling > Credit Score Cards
ModelingRisk Management

Credit Score Cards

Sandeep Raut
Sandeep Raut
4 Min Read
Credit Score Cards
Photo by Tumisu on Pixabay (https://pixabay.com/photos/credit-card-scissors-debt-4894338/)
SHARE
Information Technology as an industry has grown up in leaps and bounds. You may not find any organization on the planet which does not have any IT involved.  This has given rise to lot of jobs supporting the IT functions. Salaries have increased tremendously in IT compared to other business areas. Overall economy had gone up which increased the tendency of people to afford & buy more & more.
This has increased the usage of Credit in everyday life. “Buy now pay later” syndrome became common. Everyone started using the credit cards and also started availing credit or loans for big purchases like home, car etc.
Eventually this resulted in many people avoiding or defaulting the payments. This is where assessment of the risk of providing the credit came along and birth of credit scoring.
Credit Risk is the risk of loss a bank or credit giving company will incur when Customer does not repay the mortgage, unsecured personal loan, auto loan, credit card amount, overdraft etc.

In early days of lending businesses used to judge borrowers based on 5 Cs:
  • Character of the applicant
  • Capacity of applicant to borrow
  • Capital as backup
  • Collateral as security for credit
  • Conditions which were mostly external factors

Then Credit Scoring was introduced by Fair Isaac which is now commonly known as FICO score.

Credit Scoring in simple terms giving some numbers to customers based on certain parameters like age, earnings, accommodation type (owned or rented), expense history & payment history etc.
There are 3 types of Scorecards which are currently used.
Application Scorecard:  This is mainly used in scoring the customers applications for credit. This tries to
predict the probability that the customer would become “bad”. The score given to a customer is usually a three or four digit integer which is finally used to approve or reject the credit application of the customer. This is where you get messeges from Banks that you have pre-approved loans or Credit cards.
Behavioral Scorecard: This is mainly used to identify or predict which of the existing customers are likely defaults on the payment so alternative measures can be taken to contact the customers & ensure that payments are received on time.
Collection Scorecards – This is mainly used to how much loss company will incur due to non payment from groups of Customers.
How businesses are using Credit Scorecards:
  • Banks are using them to separate good borrowers from bad borrowers
  • Financial institutions are using it to determine credit limits
  • Early detection of high risk account holders to reduce potential losses
  • Improved debt collection
  • Insurance companies are using it for cost of insurance product for a Customer

  

Share This Article
Facebook Pinterest LinkedIn
Share
BySandeep Raut
Follow:
Founder & CEO at Going Digital - Digital Transformation, Data Science, BigData Analytics, IoT Evangelist

Follow us on Facebook

Latest News

Flat editorial illustration: The article is about replacing informal co-located management with deliberate asynchronous workflows
Managing a Software Development Dedicated Team Across Time Zones
Development Exclusive Software
Technical architecture diagram and decision framework for wikipedia editing services and ai training data: why llms still treat wikipedia as a source of truth
Wikipedia Editing Services and AI Training Data: Why LLMs Still Treat Wikipedia as a Source of Truth
Artificial Intelligence Exclusive
Flat editorial illustration: The article connects fragmented social-service records through shared pathways and selective informa
Turning Disconnected Information Data Into Better Social Service Outcomes
Big Data
Flat editorial illustration: The article explains how one KYC upload becomes separate records held by a verification vendor and a
What Happens to My KYC Data Behind the Approval Screen?
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Ways Big Data is Changing Capitalism for Centuries to Come
Big DataExclusivePolicy and GovernanceRisk Management

Ways Big Data is Changing Capitalism for Centuries to Come

6 Min Read
Predictive Analytics in Action: Anthony Goldbloom of Kaggle
Big DataInside CompaniesModelingPredictive Analytics

Predictive Analytics in Action: Anthony Goldbloom of Kaggle

6 Min Read
No Encryption or BAAs: Keep PHI Off Unsecure Clouds
PrivacyRisk Management

No Encryption or BAAs: Keep PHI Off Unsecure Clouds

4 Min Read
How Data Will Make Air Travel Safer
Best PracticesCulture/LeadershipPolicy and GovernanceRisk Management

How Data Will Make Air Travel Safer

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?