Fraud Detection, Anti-Money Laundering (AML) and Counter Terrorist Financing (CTF)
Analysing customer transactions and behaviour to identify potentially fraudulent activity for a large financial institution.

Credit Card Segmentation
Defining and implementing a customer segmentation structure to enable different customer needs to be recognised and addressed for a large retail bank.
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Customer Attitudinal Segmentation
Allocating customers a 'Strength of Relationship' measure indicating customer satisfaction and future potential value for a large financial institution derived only from inhouse transaction data available in the data warehouse.
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Propensity Modelling

Credit Card Attrition
Propensity modelling for a large retail bank predicting the likelihood that a credit card customer will close their account, implemented within a retention framework defining strategies for dealing with different types of 'at risk' customers.
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Marketing

Event Based Marketing Triggers
Analysing and setting up automated trigger contacts on identification of significant events in customer behaviour for a large retail bank, resulting in a huge 11% response rate for one particular trigger.

Campaign Analysis and Wealth Screening
Increasing campaign response rates, donation amounts and return on investment for Australian Red Cross through analysis of donation behaviour, segmentation and calculating relevant ask amounts. Identifying existing donors who are capable of making major donations but have not yet done so.
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Reporting and Marketing Datamart Creation
Creating a Reporting and Marketing Datamart for a large charity fed from their production database - cleaning data, optimising table structure and deriving useful attributes in order to minimise the effort of producing Targeted Marketing Campaigns as well as tracking Campaign Success and overall Portfolio Trends.
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Targeted Campaigns
Creation and Post-Implementation Reviews of numerous Marketing Campaigns for large banks. eg Identification of ‘good young customers’ and their attributes in order to target a personal loan campaign resulting in a response rate that exceeded budgets.