SCL Conference 2015: Risk Optimisation Not Risk Minimisation (AI Corporation)

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Passionate About Payments

Payment intelligence to enrich, protect & grow your business

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Passionate About Payments

Risk Optimisation Not Risk Minimisation

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INTRODUCTION Petrol to payments

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Risk Optimisation The holy grail - how do we find the perfect customers

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Risk Optimisation Measuring KPI’s that help optimise the KVIs Key value indicators

Value – best in class

Volume growth

Grow customers

• # accounts • Customer life • Cust lifetime value

• Revenue/account • Share of wallet

Segment to target high margin customers

• Revenue & Cost per Tx • Margin/account

Reduce fraud, bad debt

• Fraud • Bad debt

Key performance indicators

Grow existing customers

Unit margin growth

• # customer support

Increase self service Reduce attrition

Extend Sales Channels

• # dormant accts • # lost accounts • Account attrition volume

Operational improvement

• Number of partners

Additional high margin products/services

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interactions • Cust satisfaction • Hr/core activity • # process steps

• Revenue due to add’l

prod/svc

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Risk Optimisation Segmenting out high value/low risk

Customer Value/ Risk Segmentation Low Value Low Risk

High Value Low Risk

Risk Minimise

Low Value High Risk

High Value High Risk

Small Companies

Value Risk Index

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Big Companies

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Have Strong Balance Sheets

Take greater risk Don’t have the balance Sheet

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Risk Optimisation Not that easy

Success The Three Disciplines – companies should seek to excel in one and be competent or better in the others

what people think it looks like

what it really looks like CONFIDENTIAL

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More complexity Explosion of innovation

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Managing Greater Customer Choice Technology and adoption rates

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More customer choice = more data Creating more and more decisions

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More customer choice = more decisions Creating more and more decisions

Cgenuine

Cfraud Plausibility Range

Expansion

Expansion

Genuine Examples

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Crisp Decision Boundary

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Fraud Examples

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Business Reality Under invested back offices

Banks looking for a pay-off from investments made in digital processes should focus on back office automation projects and steer clear of multichannel integration, according to research from McKinsey. FINEXTRA, 9th December 2014

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Rapidly Evolving Landscape We understand your challenges

Payment types

Sales channels physical online mobile

Fraud

Reduced resource

Services

Competitors

Demand for value added & personalised services

Integrated Platforms Rising costs

more complexity

more risk

more effort

Your business is under increasing pressure from external and internal drivers

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Solution – Back Office Automation Self services systems linked with self learning systems

Sales and marketing

Customer service

Credit and finance

Operations

Customer friendly self service solutions

Self learning back office solutions Self service

Rules engine

Real time information

End-to-end industry-compliant payment service platform

Payment data is rich with information, what, where and what time it was bought, the price of the goods, (some channels, who has bought, delivery address, e-mail, telephone number)

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Real Time Decisions Using Automation We do it for fraud – why not other areas

Utilising payment “purchasing pattern” information; 

to build customer retention, to prompt up-selling by using buying recommendations techniques at the point of sale

to optimise price/margins and supply chain

to help better manage the credit and settlement processes

Data Imports Established Payment Data Sources New Emerging Data Sources

Using payment data to automate decisions making

Data Exports

Rules Engine

Pattern Detection

System Alerts

Business Alerts

Rule Optimisation

Enterprise Links


Customer Management Real Time Portfolio Management

Customer Value/Risk Segmentation Low Value Low Risk

High Value Low Risk

Low Value High Risk

High Value High Risk

Prospect Targeting Criteria

“AD HOC”

Customer Value/Risk Segmentation Low Value Low Risk

High Value Low Risk

Low Value High Risk

High Value High Risk

New Customer Monitoring

Existing Customer Monitoring

REFINED

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Holistic Business Management Measuring KPI’s that help optimise the KVIs Key value indicators

Value – best in class Volume growth

Unit margin growth • # accounts • Customer life • Cust lifetime value

Grow existing customers

Reduce attrition

Extend Sales Channels

Segment to target high margin customers

• Revenue & Cost per Tx • Margin/account

• Revenue/account • Share of wallet

Reduce fraud, bad debt

• Fraud • Bad debt

• # dormant accts • # lost accounts • Account attrition volume

Increase self service

• # customer support interactions • Cust satisfaction

Operational improvement

• Hr/core activity • # process steps

Additional high margin products/services

• Revenue due to add’l prod/svc

• Number of partners

Key performance indicators

Grow customers

Fraud risk

Marketing

Credit risk

Collections & recoveries

• Traditional transaction rules looking for suspicious activity or changes in behaviour

• Identifying customers who met spending milestones or where transaction activity may be applicable for product upgrade

• Identifying customers with a change of circumstances who may require credit review

• Identifying customers who spend beyond means or continue to accumulate debt.

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THANK YOU FOR YOUR TIME

Questions?

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