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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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erry50675Q1EastBostonBamboo59278Q1EastBuffaloBamboo42
227Q1EastBaltimoreBamboo52110Q1EastCharlotteBamboo5522
8Q1EastBostonOak38767Q1EastBuffaloOak36600Q1EastBaltim
oreOak50811Q1EastCharlotteOak39360Q1EastBostonMahogany
49425Q1EastBuffaloMahogany26325Q1EastBaltimoreMahogan
y46491Q1EastCharlotteMahogany55617Q2EastBostonMaple529
33Q2EastBuffaloMaple58616Q2EastBaltimoreMaple26024Q2Ea
stCharlotteMaple31578Q2EastBostonCherry40033Q2EastBuffal
oCherry49574Q2EastBaltimoreCherry30360Q2EastCharlotteChe
rry38443Q2EastBostonBamboo49119Q2EastBuffaloBamboo552
38Q2EastBaltimoreBamboo25391Q2EastCharlotteBamboo30028
Q2EastBostonOak27913Q2EastBuffaloOak25411Q2EastBaltimo
reOak49386Q2EastCharlotteOak36078Q2EastBostonMahogany5
7029Q2EastBuffaloMahogany56829Q2EastBaltimoreMahogany
50823Q2EastCharlotteMahogany43620Q3EastBostonMaple2678
8Q3EastBuffaloMaple58724Q3EastBaltimoreMaple46343Q3Eas
tCharlotteMaple25561Q3EastBostonCherry59594Q3EastBuffalo
Cherry25748Q3EastBaltimoreCherry58557Q3EastCharlotteCher
ry58385Q3EastBostonBamboo35751Q3EastBuffaloBamboo4183
5Q3EastBaltimoreBamboo49418Q3EastCharlotteBamboo56719
Q3EastBostonOak48001Q3EastBuffaloOak26364Q3EastBaltimo
reOak55429Q3EastCharlotteOak43880Q3EastBostonMahogany4
8741Q3EastBuffaloMahogany38650Q3EastBaltimoreMahogany
47651Q3EastCharlotteMahogany36962Q1SouthAtlantaMaple33
492Q1SouthJacksonvilleMaple44045Q1SouthNew
OrleansMaple33785Q1SouthMontgomeryMaple47897Q1SouthM
emphisMaple48379Q1SouthAtlantaCherry47861Q1SouthJackso
nvilleCherry28226Q1SouthNew
OrleansCherry48290Q1SouthMontgomeryCherry43202Q1South
MemphisCherry32655Q1SouthAtlantaBamboo31768Q1SouthJac
ksonvilleBamboo55938Q1SouthNew
OrleansBamboo48281Q1SouthMontgomeryBamboo48489Q1Sou
thMemphisBamboo57384Q1SouthAtlantaOak52322Q1SouthJack
sonvilleOak47195Q1SouthNew
OrleansOak49613Q1SouthMontgomeryOak27876Q1SouthMemp
hisOak49811Q1SouthAtlantaMahogany58368Q1SouthJacksonvil
leMahogany30837Q1SouthNew
OrleansMahogany27586Q1SouthMontgomeryMahogany29355Q
1SouthMemphisMahogany47282Q2SouthAtlantaMaple34451Q2
SouthJacksonvilleMaple49984Q2SouthNew
OrleansMaple47462Q2SouthMontgomeryMaple25896Q2SouthM
emphisMaple31382Q2SouthAtlantaCherry46927Q2SouthJackso
nvilleCherry54709Q2SouthNew
OrleansCherry47070Q2SouthMontgomeryCherry40054Q2South
MemphisCherry52657Q2SouthAtlantaBamboo30835Q2SouthJac
ksonvilleBamboo48766Q2SouthNew
OrleansBamboo52200Q2SouthMontgomeryBamboo38702Q2Sou
thMemphisBamboo30509Q2SouthAtlantaOak48866Q2SouthJack
sonvilleOak59721Q2SouthNew
OrleansOak43127Q2SouthMontgomeryOak48522Q2SouthMemp
hisOak30317Q2SouthAtlantaMahogany58150Q2SouthJacksonvil
leMahogany43988Q2SouthNew
OrleansMahogany36337Q2SouthMontgomeryMahogany36503Q
2SouthMemphisMahogany28976Q3SouthAtlantaMaple36769Q3
SouthJacksonvilleMaple48237Q3SouthNew
OrleansMaple25645Q3SouthMontgomeryMaple55630Q3SouthM
emphisMaple37753Q3SouthAtlantaCherry43545Q3SouthJackso
nvilleCherry55808Q3SouthNew
OrleansCherry34140Q3SouthMontgomeryCherry49491Q3South
MemphisCherry46213Q3SouthAtlantaBamboo47514Q3SouthJac
ksonvilleBamboo43679Q3SouthNew
OrleansBamboo37490Q3SouthMontgomeryBamboo50142Q3Sou
thMemphisBamboo58722Q3SouthAtlantaOak36155Q3SouthJack
sonvilleOak40761Q3SouthNew
OrleansOak28760Q3SouthMontgomeryOak50814Q3SouthMemp
hisOak25163Q3SouthAtlantaMahogany33909Q3SouthJacksonvil
leMahogany46003Q3SouthNew
OrleansMahogany51592Q3SouthMontgomeryMahogany40415Q
3SouthMemphisMahogany49963Q1Mid-
StatesColumbusMaple59178Q1Mid-
StatesChicagoMaple44363Q1Mid-StatesKansas
CityMaple56622Q1Mid-StatesAmarilloMaple50548Q1Mid-
StatesColumbusCherry47535Q1Mid-
StatesChicagoCherry32114Q1Mid-StatesKansas
CityCherry48174Q1Mid-StatesAmarilloCherry38826Q1Mid-
StatesColumbusBamboo59942Q1Mid-
StatesChicagoBamboo48133Q1Mid-StatesKansas
CityBamboo32961Q1Mid-StatesAmarilloBamboo58502Q1Mid-
StatesColumbusOak30754Q1Mid-
StatesChicagoOak53732Q1Mid-StatesKansas
CityOak48607Q1Mid-StatesAmarilloOak55422Q1Mid-
StatesColumbusMahogany44342Q1Mid-
StatesChicagoMahogany40047Q1Mid-StatesKansas
CityMahogany51715Q1Mid-
StatesAmarilloMahogany54539Q2Mid-
StatesColumbusMaple36059Q2Mid-
StatesChicagoMaple39931Q2Mid-StatesKansas
CityMaple49786Q2Mid-StatesAmarilloMaple54658Q2Mid-
StatesColumbusCherry38031Q2Mid-
StatesChicagoCherry35202Q2Mid-StatesKansas
CityCherry37583Q2Mid-StatesAmarilloCherry48998Q2Mid-
StatesColumbusBamboo48251Q2Mid-
StatesChicagoBamboo37513Q2Mid-StatesKansas
CityBamboo55737Q2Mid-StatesAmarilloBamboo30166Q2Mid-
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StatesColumbusMaple50718Q3Mid-
StatesChicagoMaple35928Q3Mid-StatesKansas
CityMaple46282Q3Mid-StatesAmarilloMaple53009Q3Mid-
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StatesColumbusBamboo38330Q3Mid-
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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
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:
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.
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
BUS520 Module 3 SLP AssignmentSummary of Raw Data for loca.docx

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