BUSINESS PROBLEM:
In order to effectively produce quality decisions in the modern credit card industry, knowledge must be gained through effective data analysis and modeling. Through the use of dynamic datadriven decision-making tools and procedures, information can be gathered to successfully evaluate all aspects of credit card operations. PSPD Bank has banking operations in more than 50 countries across the globe. Mr. Jim Watson, CEO, wants to evaluate areas of bankruptcy, fraud, and collections, respond to customer requests for help with proactive offers and service.
DATA AVAILABLE This book has the following sheets:
Customer Acquisition: At the time of card issuing, company maintains the details of customers.
Spend (Transaction data): Credit card spend for each customer
Repayment: Credit card Payment done by customer
ANALYTICS IN CREDIT CARD INDUSTRY:
Analytics has penetrated every industry owing to the various technology platforms that collect information and thus, the service providers know what exactly customers want. The Credit Card industry is no exception. Within credit card payment processing, there is a significant amount of data available that can be beneficial in countless ways. Understanding the customer behaviour The data available from a credit card processor identifies the types of consumer and their business spending behaviors. Hence, developing the marketing campaigns to directly address their behaviors indeed grows the revenue and these considerations will result in greater sales. Personalize offering based on data results Data also reveals specific interests and needs in individual customers that a company can leverage, this addressing their needs more efficiently. Specific promotions can be sent out related to where these customers are located and this builds sales more quickly. Use trends and patterns to get new customers The transactions and activities of the existing customers that they do in terms of purchase behavior tends to reflect larger trends that are coming. This information provides a strategy to go after possible customers in the target audience. Uncover suspicious activity The data from credit card processing is becoming increasingly important as a tool to fight fraud. When combined with artificial intelligence, this data is being analyzed quickly to uncover areas of purchase activity. Reduce chargebacks The ability to detect suspicious activity and patterns in data can also assess whether or not a transaction might result in a chargeback. Using analytics to track each transaction reveals anomalies. This information can help you reject that transaction and save your business from chargebacks.