A multinational financial services company wanted to explore improving its collection rate and process but did not have the in-house talent it could dedicate to the project. With billions in assets and more than 25 million customers throughout the world, the bank needed to integrate new sources of highly granular credit data with historical data from a variety of structured sources and semi-structured. Their collections process lacked prescriptive analytics to optimize which loan they reached out to each day and through which channel. It was also having productivity issues and struggling to launch new credit products because of inflexible data transformation tools that couldn’t accommodate new variables.