Predictive analytics help you how to make money. Angela Hausman, PhD (marketing professor at Howard University) writes in her article about some possibilities to improve bottom line by using predictive analytics: 1. Recommendation algorithms
2.Manage the customer journey
3.Segmentation based on CLV (customer lifetime value) or other variables
4.Optimize deployment of company resources
5.Hire the best employees for a job
6.Detect fraud. Using predictive analytics, firms segment their customers on more influential variables. Predictive analytics can help to optimize deployment of resources. For more read: http://www.business2community.com/business-intelligence/want-buy-using-predictive-analytics-01543154#eTFpvvsFFDwam4MG.97

Nowadays, marketers are giving importance to customer journey mapping. They also talk about customer journey and how they can reach decision makers at the right point of the customer journey. Customer Journey Maps are useful as they describe an ideal customer engagement model from the customer’s perspective and can also help us to understand the customer story of various specific customers. Many marketers are putting emphasis on enterprise customer architecture and its ability to successfully support customer experience regardless of the particular journey that the customer is on. Read more at:  http://it.toolbox.com/blogs/integrate-my-jde/customer-experience-initiatives-customer-journey-vs-customer-architecture-70937