Week 7
assignment
Benchmark – Data Analysis Case Study
Review “Benchmark Assignment – Data Analysis Case
Study” and “Benchmark Assignment – Data Analysis Case Study
Data” for this topic’s case study, evaluating operations for a local
restaurant.
Although your friend and restauranteur Michael Tanaglia
offered to go over your findings in person, you believe it would be appropriate
to also prepare a report and document your findings in writing. In a
1,000-1,250-word report, explain your approach for each evaluation and the
rationale for the methods you used. Include any recommendations based on
customer satisfaction, forecasting, and staff scheduling data.
Use an Excel spreadsheet file for the calculations and
explanations. Cells should contain the formulas (i.e., if a formula was used to
calculate the entry in that cell). Students are highly encouraged to use the
“Benchmark Assignment – Data Analysis Case Study Template” and
“Benchmark Assignment – Data Analysis Case Study Linear Programming
Template” to complete this assignment.
Mac users can use StatPlus:mac LE, free of charge, from
AnalystSoft.
Prepare the assignment according to the guidelines found in
the APA Style Guide, located in the Student Success Center. An abstract is not
required.
This assignment uses a rubric. Please review the rubric
prior to beginning the assignment to become familiar with the expectations for
successful completion.
You are required to submit this assignment to Turnitin.
Please refer to the directions in the Student Success Center.
Benchmark Assignment – Data Analysis Case Study
The Cicero Italian Restaurant was founded by Anthony
Tanaglia in 1947 in Cicero, Illinois, a suburb of Chicago. He built the
business with his family from a small pizza and pasta restaurant to 10
locations in the Chicago area. Michael Tanaglia, Anthony’s grandson, moved to
Arizona to escape the cold Chicago winters and opened a restaurant in the
Chandler area. The Arizona restaurant gained momentum thanks to the
Chicago-style pizza and quality Italian dishes. Anthony decided to expand
operations in Arizona, adding a second location in Glendale. The Glendale
location was managed by Michael’s son Tony.
After a year of operations, Michael had some concerns with
the Glendale location. Michael does not want his family’s business to fail, and
he wants his grandfather’s legacy to last. Michael also understands how
important an operational evaluation can be to identifying the strengths and
weaknesses of a business. Michael confides his concerns to you and asks if you
will do him a favor and use your quantitative analytic expertise to help him
evaluate the Glendale location’s operations in three key areas: customer
satisfaction, customer forecasting, and staff scheduling. As his friend, you
agree – though his offer to treat you to the large pizza of your choice did not
hurt.
First Evaluation
The first evaluation required an understanding of the
factors that contribute to customer satisfaction and spending. Refer to the
data Michael provided in the Excel spreadsheet “Benchmark Assignment – Data
Analysis Case Study Data.” Identify which variables are significant to
predicting overall satisfaction. Develop and interpret the prediction equation
and the coefficient of determination. Based upon the data in this evaluation,
what areas should Michael and Tony Tanaglia focus on to improve customer
satisfaction?
Second Evaluation
The second evaluation requires a forecast of customers based
upon demand. Michael reviewed data for the previous 11 months in an attempt to
better forecast restaurant customer volume.
MONTH #
OF CUSTOMERS
January 650
February 725
March 850
April 825
May 865
June 915
July 900
August 930
September 950
October 899
November 935
December ?
Which method should the business owner use to yield the
lowest amount of error and what would be the forecast for December? Refer to
the Excel spreadsheet “Benchmark Assignment – Data Analysis Case Study
Template.”
Third Evaluation
The third evaluation concerns staff scheduling. Some of the
customers have complained that service is slow. The restaurant is open from
11:00 a.m. to midnight every day of the week. Tony divided the workday into
five shifts. The table below shows the minimum number of workers needed during
the five shifts of time into which the workday is divided.
Shift Time # of Staff Required
1 10:00
a.m. – 1:00 p.m. 3
2 1:00
p.m. – 4:00 p.m. 4
3 4:00
p.m. – 7:00 p.m. 6
4 7:00
p.m. – 10:00 p.m. 7
5 10:00
p.m. – 1:00 a.m. 4
The owners must find the right number of staff to report at
each start time to ensure that there is sufficient coverage. The organization
is trying to keep costs low and balance the number of staff with the size of
the restaurant, so the total number of workers is constrained to 15.
Based on these factors, recommend the staff for each shift
to accommodate the minimum requirements for customer service. Refer to the
Excel spreadsheet “Benchmark Assignment – Data Analysis Case Study Linear
Programming Template.”
