A call center for a large electronics company handles an average of 35, 000 support calls a day. The head of the call center would like to optimize the staffing of the call center during the rollout…

A call center for a large electronics company handles an average of 35, 000 support calls a day. The head of the call center would like to optimize the staffing of the call center during the rollout of a new product due to recent customer complaints of long wait times. You have been asked to create a model to optimize call center costs and customer wait times. The goals for this project include: 1. Relative to the release of a product, how does the call volume change over time? 2. How to best optimize staffing based on the call volume for the newly released product, relative to old products. 3. Historically, what time of day does the call center need to be most heavily staffed? 4. Determine the frequency of calls by both product type and customer language. Which goals are suitable to be completed with MapReduce?