the marketing dept. needs to maximize consumer interest in the company's new financial services by sending marketing emails, targeted ads, and texts at prescribed intervals throughout the initial process of attracting and building a relationship with a customer. riad's team has a large amount of data from previous marketing campaigns that they can analyze to develop a recommended schedule, taking into account a large variety of factors about different types of customers. what kind of technique will this task force need to employ in order to make these recommendations? a. descriptive analytics b. optimization c. predictive analytics d. simulation the marketing dept. adds another layer of data analysis to the new project. they'd like to know what follow-up strategies tend to be most effective for customers in specific age and income brackets. they highlight two particular points along the select where they most need research-based guidance. to complete these tasks, riad's team will need to pull more information and insights from their existing data sets. what analytics tool will help them explore this data to identify patterns they can use to make predictions about which strategies will work best for each identified population? a. time series analysis b. linear programming c. data mining d. genetic algorithm check my work