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Embryonic Opportunies For Predicve Analycs In Australia Australia has recently introduced a new form of consumer credit reporng known as ‘Comprehensive Credit Reporng (CCR)’. This form of reporng allows credit providers such as banks and other lenders to share posive informaon about consumers through a credit bureau. Pricing based on credit worthiness is commonplace in mature markets such as the US and UK, where consumers acvely use credit scores to seek out beer deals. What makes this form of reporng more excing for a soſtware vendor like Nucleus Soſtware which is venturing into these developed markets is that, the posive informaon shared by the credit bureaus when coupled with advanced predicve analycs soluons can help lenders with beer risk management capabilies while enhancing customer service right from the ‘lead’ stage to drive business growth. A negave credit report provides ‘negave’ informaon on an individual’s credit worthiness by capturing informaon like previous credit enquiries, ‘negave’ or adverse informaon of the past 5 years (applicaons for credit – including mobile/gas/electricity accounts, defaulng on a loan which the consumer does not pay even aſter 60 days of the due date, bankruptcies, insolvencies, judgements) along with the usual account informaon like name, address, date of birth etc. In contrast, a posive credit reporng involves ‘posive’ informaon about the individual’s credit posion. It consists of five addional pieces of informaon relang to the person’s current credit commitments which when coupled with a strong predicve analycs soluon can help banks with even more powerful analysis and informaon about its customers. Menoned below are the addional pieces of informaon captured and what they can be indicators of: www.nucleussoſtware.com sales@nucleussoſtware.com Type of account (e.g. credit card, home loan etc.) Date the account was opened and closed Details of the credit provider Credit limit placed, credit ulisaon rate and balance of the account Repayment history* Customer’s risk appete and product mix Level of risk – Measured using age of accounts – Long term account relaonships implies lower risks (Loyalty) Customer’s risk appete and product mix along with choice of lender Customer’s exposure Strong risk measurement characterisc Ø Proof of borrower’s willingness to meet loan commitments COMPREHENSIVE CREDIT REPORTING – NEGATIVE & POSITIVE CREDIT REPORTING: INFORMATION/FIELD INDICATOR OF Ø Ø Ø Ø Ø * Repayment history refers to monthly payment performance over the previous 24 months. Telecommunicaons and ulies companies cannot share repayment history.

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Embryonic OpportunitiesFor Predictive Analytics In Australia

Australia has recently introduced a new form of consumer credit reporting known as ‘Comprehensive Credit Reporting (CCR)’. This form of reporting allows credit providers such as banks and other lenders to share positive information about consumers through a credit bureau. Pricing based on credit worthiness is commonplace in mature markets such as the US and UK, where consumers actively use credit scores to seek out better deals.

What makes this form of reporting more exciting for a software vendor like Nucleus Software which is venturing into these developed markets is that, the positive information shared by the credit bureaus when coupled with advanced predictive analytics solutions can help lenders with better risk management capabilities while enhancing customer service right from the ‘lead’ stage to drive business growth.

A negative credit report provides ‘negative’ information on an individual’s credit worthiness by capturing information like previous credit enquiries, ‘negative’ or adverse information of the past 5 years (applications for credit – including mobile/gas/electricity accounts, defaulting on a loan which the consumer does not pay even after 60 days of the due date, bankruptcies, insolvencies, judgements) along with the usual account information like name, address, date of birth etc. In contrast, a positive credit reporting involves ‘positive’ information about the individual’s credit position. It consists of five additional pieces of information relating to the person’s current credit commitments which when coupled with a strong predictive analytics solution can help banks with even more powerful analysis and information about its customers.

Mentioned below are the additional pieces of information captured and what they can be indicators of:

sales@nucleussoftware.comwww.nucleussoftware.comwww.nucleussoftware.com [email protected]

Type of account (e.g. credit card, home loan etc.)

Date the account was opened and closed

Details of the credit provider

Credit limit placed, credit utilisation rate and balance of the account

Repayment history*

Customer’s risk appetite and product mix

Level of risk – Measured using age of accounts – Long term account relationships implies lower risks (Loyalty)

Customer’s risk appetite and product mix along with choice of lender

Customer’s exposure

Strong risk measurement characteristic Ø Proof of borrower’s willingness to meet loan commitments

COMPREHENSIVE CREDIT REPORTING – NEGATIVE & POSITIVE CREDIT REPORTING:

INFORMATION/FIELD INDICATOR OF

Ø

Ø

Ø

Ø

Ø

* Repayment history refers to monthly payment performance over the previous 24 months. Telecommunications and utilities companies cannot share repayment history.

ABOUT THE AUTHOR

Arup Das, Vice President and Lending Product Head (P&L Management)

Mr. Arup Das is the Vice President and Lending Product Head (P&L Management) at Nucleus Software where he is responsible for taking the flagship product to the next level of global leadership. Before joining Nucleus, he held a variety of roles in strategy and product management with leading companies including CISCO, IPValue and Mphasis.

Nucleus Software is the leading provider of mission critical lending and transaction banking products to the global financial services industry. With three decades of expertise and experience, today, it powers the operations of more than 150 companies in 50 countries, supporting retail banking, corporate banking, cash management, internet banking, automotive finance and other business areas.

ABOUT NUCLEUS SOFTWARE

The impact of using predictive analytics on such additional information provided by positive credit reporting can be as follows:

While some lenders may be reluctant to contribute data due to competitive disadvantage, a number of lenders in Australia are in the process of implementing large scale technology programs which may impact the timing of their contribution to comprehensive reporting.

Though there are many transitional issues as mentioned by the Australasian Retail Credit Association (ARCA), Australian transition from negative reporting to comprehensive reporting is a unique approach which will create challenges for the government, regulators and the industry. Hence, keeping a constant watch over this subject and implementation of CCR in banks will be critical for software vendors like Nucleus Software which looks at Australia as a strategic growth market to create a product which suits the requirements of the market.

Enables banks to gain an asset quality which is stable as the risk is dispersed between the broader range of customers accessing loansAccurate and real time detection of theft or fraud with stronger information base recorded on customersEnhances bank’s focus on customer centricity by providing interest rate cuts based on loyalty and positive credit score –selling the right product to the right customersEnables banks to serve its customers better by providing advice to avoid financial stress based on their financial positionProvides an alarm to the banks about the current hardship of its customers

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