Risk management on the path to the machine learning prize at Workday

While machine learning creates a large opportunity for cloud software-as-a-service provider Workday to build solutions beyond their core enterprise human capital management and financial forecasting software, the prospect of designing and implementing complex algorithms presents significant risks that must be managed before an unsupervised implementation. This paper digs into the opportunity and risk mitigation tactics that Workday management should take over the next 3-5 years as they launch and scale these products.

Capital One: Aligning the organization through data

Capital One is a Fortune 500 company that provides financial services such as credit cards and loans to consumers, small businesses and commercial clients. The company operates mainly in the US, Canada and the UK. Since the economic crisis in 2009, the share price has been continuously increasing and reached $91 per share in July 2015. [1] Capital One is well-known for expanding the credit industry by implementing an innovative, analytical approach to assess customers’ risk profiles. It is now one of the biggest provider of credit cards in the US (Exhibit 1), and has used its strong competitive advantage in data analysis to become a major player in retail banking and other services. To achieve this position, Capital One has been very successful at aligning its operating model and its business model.