CASE STUDY : DATA WAREHOUSE AND OLAP FOR THE FAST FAST FOOD FOOD INDUSTRY
CSE- 502
essential. Summerwood Corporation is a fast Abstract: Abstract: Data mining is an evolving field.
food franchisee operating approximately 80
Data Mining is gaining popularity popularity as an
Taco Taco Bell Bell and and Kent Kentuc ucky ky Frie Fried d Chic Chicken ken
effec effectiv tivee tool tool for for increa increasin sing g profi profits ts in a
restaurants in and around Philadelphia. They
variety of industries. It is widely used in
implem plemen entted
many many of the the appl applic icat atio ions ns.. Fe Few w of the the
reporting structures through Exclusive ore,
examples include academic medical centre,
which
fast food industries Etc. The importance of
corporation.
accurate, accessible data is paramount. A
implemented in Microsoft SQL Server 2000,
well designed data warehouse can greatly
and data is incorporated incorporated from two principal
enha enhanc ncee the the effe effect ctiv iven enes esss of the the data data
sources: One is the Daily sales information
minin mining g proce process. ss. In this this case case study study,, the
automatically polled by the TACO system
impor importan tance ce of
data data wareho warehouse use and and the
De-Pol De-Pol utilit utility y and other other source source is Period Period
OLAP operations in the fast food industry
based accounting information from the
is discussed. it also discuss the importance
Dyna Dynam mics
of some aspects of the physical design and
accounting database.
the
designed ned The
dat data
it
for data
(Micro crosoft
war warehou ehousse
and and
Summ ummerw erwood ood warehouse
Gre Great
is
Plains)
maintenance to the data mining process. 2. OLAP CU CUBES
The data in the warehouse is processed into
1. INT INTRODU RODUCT CTIO ION N
OLAP OLAP Cubes Cubes for for repo report rtin ing g and and analy analysi siss One of the most critical steps in any data mining project is obtaining good data. Good data can mean many things: clean, accurate, predictive,
timely,
accessible
and/or
actionable. The Fast Food industry is highly competitive competitive,, one where a very small change in operations can have a significant impact on the bottom line. For this reason, quick access access to compre comprehens hensive ive inform informati ation on for both standard and on-demand reporting is
purposes. Data can be analyzed by store, by company, by zone and area, by accounting year, quarter and period and by brand and concept. •
PL Cube: Cube: Contai Contains ns Profit Profit & Loss, Loss, Cash Flow and EBIDTA statements statements for Summerwood. Amounts can be viewed for any period as a period, quarter-to-date, year-to-date.
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•
BS Cube Cube:: Cont Contai ains ns the the Bala Balanc ncee
sliced sliced and diced by a compar comparabl ablee
Sheet Sheet for Summer Summerwood wood.. Balanc Balances es
indica indicator tor,, by calend calendar ar year, year, month month
can be viewed as of any period, and
and week, and by pricing tier. Gross
can be compared to the preceding
sales, sales, taxabl taxablee sales, sales, non-tax non-tax sales, sales,
period or the corresponding period
manual over/under, deletions, labor,
in the prior year.
cash
Sales Mix Cube: Contains daily sales
average check are available.
of all menu items in all stores. In
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•
over/short,
depos posits
and
Repo Report rt Card Card Cube. Cube. Cont Contai ains ns the the
addit additio ion n to the the stan standa dard rd analy analysi siss
daily report card amounts. Some of
parameters, this data can also be
these are also in the Sales Ops cube.
sliced and diced by brand, by item
In
category or by menu item, em, by
contains contains speed-of-se speed-of-service rvice and peak
calendar year, month and week, and
–hour information.
by pricing tier. This cube can be
The Summer Summerwood wood data data wareho warehouse use
used to compute sales amounts and
and and
counts, costs and variance from list
permit investigation along any of
price.
these corporate hierarchies – i.e., by
addition,
the the
the
Report
resul esulti ting ng OLA OLAP
Card
cube cubess
Sales Day Part Cube: Contains sales
operating company, by zone or area,
amoun amounts ts and and count countss at 15 minu minute te
or by brand or concept. It is easy to
intervals. In addition to the standard
do
analysis parameters, the data in this
zonezone-to to-z -zone one comp compari ariso sons ns,, or to
cube ube can also be anal nalyzed by
view the performance of all stores
calendar year, month and week, and
within an area.
area area-t -too-ar area ea
compa compari riso sons ns,,
or
by eight-hour, four-hour, two-hour, one-hour and 15 minute intervals, or
•
3. REPO REPORT RTS S GENE GENER RATED ATED WI WITH TH
by specific meal e.g., lunch, dinner,
THE
HELP
breakfast, between-meals, etc.
WAREHOUSE
OF
DATA
Sale Saless Ops Ops Cube. Cube. Conta Contain inss dail daily y
Ther Theree are are few few exam exampl ples es of the the repor reports ts
sale saless summ summar ary y for for each each stor store. e. In
generated generated by the Summerwood Summerwood corporation corporation..
addit additio ion n to the the stan standa dard rd analy analysi siss
Each report can be generated for a particular
parameters, this data can also be
store or store aggregation, i.e., zone, area,
comp company any,, conc concept ept or bran brand. d. In addi additi tion on,,
•
MENU MENU MIX MIX AS PERC PERCEN ENT T OF
each report can be generated for a specific
sales SALES: This report compares sales
time time peri period od or sequ sequen ence, ce, i.e. i.e.,, day, day, week week,,
percentages of different menu item
period, quarter, or year. When a particular
categories e.g. Beverages, KFC and
aggregation is displayed in a row or column,
menu menu items items e.g., e.g., Chalup Chalupa, a, Combos Combos
a user can double click on that aggregation
across different concepts and brands.
to drill down to the next lower level e.g., the
Users can drill down on any row or
stor stores es in that that area area,, or the the peri periods ods in the the
column simply by double clicking.
quarter, thereby revealing what is there in
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QUARTERLY NET PROFIT BY
the next lower level of detail. Few examples
CONCEPT: This report shows how
are below:
net net prof profit it as a perc percen entt of reven revenue ue
•
•
Th e
change over certain period of time.
daily report card is intended to show,
This chart is easily changed on-the-
each each day, day, how how a stor storee or conc concept ept
fly, simply by answering prompts, to
performed on that date. The Report
a chart that shows any amount from
Card is also generated for each store,
the Profit and Loss, either as a dollar
so that a store or area manager can
amount or as a percent of revenue, or
quickly see how that store compares
even as a percent of budget, for any
to the concept, in general, and how
range of time as years, quarters or
that that stor storee compa compare ress to itse itself lf,, last last
periods, and for any concept, area or
year.
zone.
DAIL DAILY Y
REPO REPORT RT
CARD CARD:
TB PL 20 20-2 -20: 0: This This repo report rt uses uses
charts to show the top 20 and bottom
4. CONCLUSIO SION
20 Taco Bell stores stores with respect to a user specified account in the Profit
In this case study, the Fast Food industry
and Loss statement. Instead of year-
is depicted using the data warehouse and
to-y to-yea earr chan change ge,, the the char chartt can can be
OLAP as a part of their administrative
easily modified to show the actual
work. Here the example used for this is
amounts or amounts as a percentage
Summerwood. Summerwood. They have developed the
of sales.
data warehouse through Exclusive ore.
The variou variouss report reportss genera generated ted through through the data warehouse are listed.
