A retail bank, wants to improve the net present value (NPV) and retention rate of customers. They want to establish an effective marketing campaign targeting customers to reduce the churn rate by at least five percent. The bank wants to determine whether those customers are worth retaining. In addition, the bank also wants to analyze reasons for customer attrition and what they can do to keep them. The bank wants to build a data warehouse to support marketing and other related customer care groups. For the above scenario apply big data analytics life cycle and explain each stage briefly.