BUS520 Module 3 SLP Assignment
Summary of Raw Data for location of Lucky restaurant in the Little Rock, Arkansas area.
Location
Traffic count (avg. thousands/day)
Building lease and taxes ($000/yr)
Bldg. size (sq ft. in thousands)
Parking Space (Max # of customer parking)
Insurance
costs
($000/yr)
Ease of Access
(subjective evaluation)
Little Rock
20
2.6
3.2
48
5.2
Good
Stuttgart
10
3.5
3.1
53
5.7
Fair
Daisy
14
1.6
2.4
40
5.5
Excellent
Pine Bluff
12
2.1
3.6
55
6.8
Fair
Newport
17
2.9
4.7
61
4.5
Poor
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BUS520 Module 3 SLP AssignmentSummary of Raw Data for loca.docx
1. BUS520 Module 3 SLP Assignment
Summary of Raw Data for location of Lucky restaurant in the
Little Rock, Arkansas area.
Location
Traffic count (avg. thousands/day)
Building lease and taxes ($000/yr)
Bldg. size (sq ft. in thousands)
Parking Space (Max # of customer parking)
Insurance
costs
($000/yr)
Ease of Access
(subjective evaluation)
Little Rock
20
2.6
3.2
48
5.2
Good
Stuttgart
10
3.5
3.1
53
5.7
Fair
Daisy
7. VegasBamboo40639Q3WestSan
DiegoBamboo48620Q3WestSeattleBamboo49160Q3WestDenver
Oak39437Q3WestBoiseOak50513Q3WestLas
VegasOak29282Q3WestSan
DiegoOak36949Q3WestSeattleOak56607Q3WestDenverMahoga
ny44819Q3WestBoiseMahogany26240Q3WestLas
VegasMahogany47119Q3WestSan
DiegoMahogany55748Q3WestSeattleMahogany39944
Assignment SLP part 1
Scenario: You are the lead consultant for the Diligent
Consulting Group. It is mid-October. One of your top clients,
Sunshine Floor Barn, has just closed the books for the first
three quarters of the year (January through September).
Sunshine Floor Barn requests that you analyze the sales
performance of its 5 product lines over this 3-quarter period.
From past consulting work you have done for the company, you
know that Sunshine Floor Barn has 4 regions and 18 total store
locations. Each Regional Manager at the company has compiled
the data for his/her region. The raw data provided consists of
the sales revenue for each of the 5 premium flooring lines for
all 4 regions and 18 locations for the first three quarters of the
current year.
The data have been provided in list format. Generate a Pivot
Table Report with Charts. Use the Pivot Table and Charts to
analyze the data. Following your in-depth analysis of the data,
write a report to Sunshine Floor Barn in which you discuss and
analyze the data, and make appropriate recommendations
relative to how Sunshine Floor Barn should improve its sales
performance going forward.
Provide accurate and complete Excel analysis (Pivot Table with
Charts).
Assignment SLP part 2 Written Report
8. Length requirement: 4–5 pages minimum (not including Cover
and Reference pages). NOTE: You must have 4–5 pages of
written discussion and analysis.
· Using the Pivot Table and Pivot Charts, discuss and analyze
the data, noting key highs and lows, trends, etc.
· Include charts from your Pivot Table to support your written
analysis. (Please do not use charts as “space fillers.” Instead,
use them strategically to support your written analysis.)
· In a “Recommendations” section, give clear, specific, and
meaningful recommendations that Sunshine Floor Barn should
use to improve overall company sales.
· Be sure to consider highs, lows, and trends in the data. Which
cities are the highest performers? Lowest? Which regions and
quarter had the highest sales? Lowest sales? Consider what may
be driving the numbers: Poor marketing? Outstanding marketing
strategies? Inventory management? Seasonal sales? Other?
There are innumerable possibilities. Your role is to reflect on
the data, and ultimately, to use the data to give useful
recommendations.
· Avoid redundancy and general statements
Assignment SLP part 1
Scenario: Assumed Certainty: Multi-Attribute Decision Making
(MADM)
Scenario: You are the Vice President of Franchise Services for
the Lucky restaurant chain. You have been assigned the task of
evaluating the best location for a new Lucky restaurant. The
CFO has provided you with a template that includes 6 criteria
(attributes) that you are required to use in your evaluation of 5
recommended locations. Following are the 6 criteria that you
will use to evaluate this decision:
9. Traffic counts (avg. thousands/day)—the more traffic, the more
customers, and the greater the potential sales.
Building lease and taxes (thousands $ per year)—the lower the
building lease and taxes, the better.
Size of building (square feet in thousands)—a larger building is
more preferable.
Parking spaces (max number of customers parking)—more
customer parking is preferable.
Insurance costs (thousands $ per year)—lower insurance costs
are preferable.
Ease of access (subjective evaluation from observation)—you
will need to “code” the subjective data. Use Excellent = 4, Good
= 3, Fair = 2, and Poor = 1.
Now that you have collected the data from various sources (your
CFO and COO, local real estate listings, personal observation,
etc.), you have all the data you need to complete an analysis for
choosing the best location.
Review the information and data regarding the different
alternatives for a new restaurant location. Then do the following
in Excel:
Table 1: Develop an MADM table with the raw data.
Table 2: Convert the raw data to utilities (scaled on 0 to 1).
Show the utility weights in a second table.
Table 3: Develop a third table with even weights (16.7%) for
each variable.
10. Evaluate Table 3 for the best alternative.
Table 4: Complete a sensitivity analysis by assigning weights to
each variable.
In a Word document, do the following:
Discuss the process used to put together Tables 1–4 above.
Provide the rationale you used for choosing for each of the
weights you used in Table 4.
Give your recommendation of which location the company
should choose (based on results of Table 4).
Assignment SLP part 2 Written Report
Length requirement: 4–5 pages minimum (not including Cover
and Reference pages). NOTE: You must have 4–5 pages of
written discussion and analysis.
Excel Analysis
Complete Excel analysis using MADM (all four tables noted
above must be included).
Accurate Excel analysis (Excel file includes working formulas
showing your calculations; all calculations and results must be
accurate).
· Provide a brief introduction to/background of the problem.
· Discuss the steps you used to compile the Excel analysis (i.e.,
the four tables).
· Discuss the assumptions used to assign weights to each
variable of your sensitivity analysis (Table 4). That is, provide
the rationale for your choice of weights for each variable.
· Provide a complete and meaningful recommendation related to
the location that should be chosen as a new site.
· Avoid redundancy and general statements