Please summarize their data mining goals according to the background, customer needs, and business objectives. Indicate the analytical types that should be used for each data mining goal.

Case $1$

Background: A prestigious university aims to improve its admissions process. Their goal is to attract high$-$caliber students and ensure a diverse student body.

Customer Needs:

Identify and attract high$-$achieving students.

Enhance the diversity of the student body.

Improve the efficiency and accuracy of the admissions process.

Business Objectives:

Increase the number of high$-$achieving student applications by $15\%$ in the next academic year.

Improve the diversity of admitted students by $10\%.$

Reduce the time required to review applications by $20\%.$

Case $2$

Background: A large casino wants to attract more customers and increase the frequency of visits from existing customers. Their goal is to boost overall revenue through targeted marketing and promotions.

Customer Needs:

Attract new customers to the casino.

Increase the visit frequency of existing customers.

Enhance customer engagement and satisfaction through personalized experiences.

Business Objectives:

Increase the number of new visitors by $20\%$ in the next six months.

Boost the visit frequency of existing customers by $15\%.$

Improve customer satisfaction ratings by $10\%.$