Meet Joe. Total Banking Solutions Joe is a lot like you. Total - - PowerPoint PPT Presentation

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Meet Joe. Total Banking Solutions Joe is a lot like you. Total - - PowerPoint PPT Presentation

Meet Joe. Total Banking Solutions Joe is a lot like you. Total Banking Solutions He wants the same things you do. Total Banking Solutions His parents to be taken care of in old age A better future for his children Cushioning against


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Total Banking Solutions

Meet Joe.

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Joe is a lot like you.

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He wants the same things you do.

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His parents to be taken care of in

  • ld age

A better future for his children Cushioning against unexpected shocks To be in control of his own future Oh, and one more thing….

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Not to be penalised for being poor. Lower income families

  • ften pay more than

families with higher incomes for the exact same product or service.

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Typical Credit Card APR: 20% per annum Typical Loan Shark Interest: 20% per day Electricity in a Phnom Penh apartment: $0.50 per Kw/h Electricity in a Phnom Penh slum: $2.00 per Kw/h Loaf of bread in a US suburban supermarket: $1.19 Loaf of bread in a US ghetto store: $3.79

Access to responsibly-priced credit can make a significant difference to the gap…

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… but to access responsibly-priced credit, you generally need to have a FICO credit rating (or something similar).

Joe doesn’t have a FICO credit rating.

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How is a FICO score calculated?

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Personal or demographic information such as age, race, address, marital status, income and employment can be taken into account. Lenders can build customized “application scores” that use information Joe supplies in his loan application. Newer “alternative” credit scores look at other sources of information, such as whether or not Joe pays his bills on time (including utility bills, rent, and more). Some companies have been following a more qualitative approach, using psychometric tests or video polygraphs.

So what about Joe?

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The relative importance of all of these components:

  • are different in different countries, or different regions in

different countries, or different market segments in different regions in different countries….

  • and may change over time….
  • and you don’t know if they are accurate until you’ve

tested them with real customers

However….

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Random forest Chi-square automatic interaction detection Predictive analytics Multivariate adaptive regression splines Logistic regression

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Total Banking Solutions

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Total Banking Solutions

Microfinance | Credit Unions | Enterprise Investment & Development | SME Loans | Development Banks | CDFIs / CFDCs | Housing Finance | Loans | Deposits | MIS | CRM | Risk Management | Business Intelligence | SEPA Compliant | Online Payments | Web Processing | Touch Screen Technology | Mobile | Tablets | Online Dashboards |

www.fernsoftware.com

Moderator: Ms. Debbie Watkins, Managing Director, APMEA Fern Software

  • Mr. Bruce Mackinlay, General Manager

Credit & Data Bureau (PNG) Limited

  • Ms. Bhavana Srivastava, Associate Director

Inclusive Finance and Banking, MicroSave

  • Mr. Ajay Verma, General Manager

South Pacific Business Development (SPBD) Microfinance, Samoa