Question 1
Four
business case scenarios are given below. 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:
o
Identify and attract high-achieving students.
o
Enhance the diversity of the student body.
o
Improve the efficiency and accuracy of the admissions process.
·
Business Objectives:
o
Increase the number of high-achieving student applications by
15% in the next academic year.
o
Improve the diversity of admitted students by 10%.
o
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:
o
Attract new customers to the casino.
o
Increase the visit frequency of existing customers.
o
Enhance customer engagement and satisfaction through
personalized experiences.
·
Business Objectives:
o
Increase the number of new visitors by 20% in the next six
months.
o
Boost the visit frequency of existing customers by 15%.
o
Improve customer satisfaction ratings by 10%.
Question 2
Identify the problem, objective, constraints and decision
variables in following case, as well as writing the constraints and objectives
in terms of decision variables.
A
large hotel chain aims to optimize its pricing and room allocation strategy to
maximize revenue. The hotel has a limited number of rooms of various types
(standard, deluxe, and suite) and faces varying demand throughout the year.
For
the upcoming year, the availability of different room types is as follows:
– Number of standard rooms: 100
– Number of deluxe rooms: 50
– Number of suites: 20
The
total number of available rooms is 170. The allocation for each room type must
not exceed these availabilities.
The
manager has reviewed past data and experiences to set the price range for each
type of room:
– Standard room: $100 – $200
– Deluxe room: $150 – $300
– Suite: $250 – $500
To
cover operational costs, the manager requires a minimum occupancy rate of 70%.
The
manager now seeks to determine how to dynamically adjust room prices and
allocate rooms efficiently to maximize profit.
I have attached and example and the problem formulation.