$2.$ You have three projects, but due to limited funding you have to prioritize the efforts. Assuming that data mining can provide a $10\%$ lift, how would you determine the prioritization? $-$ A telemarketing program with a cost of $ $3\mathrm{.}00$ per person and a net eligible universe of $50000-$ A Direct Mail program with a cost $0$f $ $1\mathrm{.}00$ per person and a net eligible universe of $500000-$ An EM program with a cost of $ $\mathrm{.}75$ per person and a net eligible universe of $50000003.$ Same situation. Would your decision change if we included a sales program to a net eligible universe of $40,000$ with a cost per person of $ $20\mathrm{.}00$ assuming the same data mining lift of $10\%?4.$ Given that you have $1$ M customers and addresses, but no access to any additional data, how could data mining be applied to improve customer response rates? $5.$ Justifying the expense of using predictive analytics within a program is extremely important. Given the following information, create a justification for senior leadership to the creation of a predictive analytics model. $-$ $ $1$ M budget $-$ The organization needs to see $10,000$ orders as a result $-$ Assume response rate of $1\%-$ Assume cost per person of $ $1\mathrm{.}00-$ Assume a lift of $50\%$ can be achieved with $50\%$ less promotion costs