Chapter 13 Business Intelligence and Data Warehouses Problems.docx

Chapter 13: Business Intelligence and Data Warehouses
Problems
Book Title: Database Systems: Design, Implementation, and
Management
Printed By: nalini chowala ([email protected])
© 2017 Cengage Learning, Cengage Learning
Chapter Review
Problems
1. The university computer lab's director keeps track of lab
usage, as measured
by the number of students using the lab. This function is
important for
budgeting purposes. The computer lab director assigns you the
task of
developing a data warehouse to keep track of the lab usage
statistics. The
main requirements for this database are to:
• Show the total number of users by different time periods.
• Show usage numbers by time period, by major, and by student
classification.
• Compare usage for different majors and different semesters.

Use the Ch13_P1.mdb database, which includes the following
tables:
• USELOG contains the student lab access data.
• STUDENT is a dimension table that contains student data.
Given the three preceding requirements, and using the
Ch13_P1.mdb data,
complete the following problems:
a. Define the main facts to be analyzed. (Hint: These facts
become the
source for the design of the fact table.)
b. Define and describe the appropriate dimensions. (Hint: These
dimensions become the source for the design of the dimension
tables.)
c. Draw the lab usage star schema, using the fact and dimension
structures you defined in Problems 1a and 1b.
d. Define the attributes for each of the dimensions in Problem
1b.
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e. Recommend the appropriate attribute hierarchies.
f. Implement your data warehouse design, using the star schema
you
created in Problem 1c and the attributes you defined in Problem
1d.
g. Create the reports that will meet the requirements listed in
this
problem's introduction.
2. Victoria Ephanor manages a small product distribution
company. Because the
business is growing fast, she recognizes that it is time to
manage the vast
information pool to help guide the accelerating growth.
Ephanor, who is
familiar with spreadsheet software, currently employs a sales
force of four
people. She asks you to develop a data warehouse application
prototype that
will enable her to study sales figures by year, region,
salesperson, and
product. (This prototype will be used as the basis for a future
data warehouse
database.)

Using the data supplied in the Ch13_P2.xls file, complete the
following seven
problems:
a. Identify the appropriate fact table components.
b. Identify the appropriate dimension tables.
c. Draw a star schema diagram for this data warehouse.
d. Identify the attributes for the dimension tables that will be
required to
solve this problem.
e. Using Microsoft Excel or any other spreadsheet program that
can
produce pivot tables, generate a pivot table to show the sales by
product and by region. The end user must be able to specify the
display
of sales for any given year. The sample output is shown in the
first pivot
table in Figure P13.2E.
Figure P13.2E
Using a Pivot Table

f. Using Problem 2e as your base, add a second pivot table (see
Figure
P13.2E) to show the sales by salesperson and by region. The
end user
must be able to specify sales for a given year or for all years,
and for a
given product or for all products.
g. Create a 3D bar graph to show sales by salesperson, by
product, and
by region. (See the sample output in Figure P13.2G.)
Figure P13.2G
3D Bar Graph Showing the Relationships Among Agent,
Product, and Region
3. David Suker, the inventory manager for a marketing research
company, wants

to study the use of supplies within the different company
departments. Suker
has heard that his friend, Victoria Ephanor, has developed a
spreadsheet-
based data warehouse model that she uses to analyze sales data
(see
Problem 2). Suker is interested in developing a data warehouse
model like
Ephanor's so he can analyze orders by department and by
product. He will
use Microsoft Access as the data warehouse DBMS and
Microsoft Excel as
the analysis tool.
a. Develop the order star schema.
b. Identify the appropriate dimension attributes.
c. Identify the attribute hierarchies required to support the
model.
d. Develop a crosstab report in Microsoft Access, using a 3D
bar graph to
show orders by product and by department. (The sample output
is
shown in Figure P13.3.)

Figure P13.3
Crosstab Report: Orders by Product and Department
4. ROBCOR, whose sample data is contained in the database
named
Ch13_P4.mdb, provides “on-demand” aviation charters using a
mix of
different aircraft and aircraft types. Because ROBCOR has
grown rapidly, its
owner has hired you as its first database manager. The
company's database,
developed by an outside consulting team, is already in place to
help manage
all company operations. Your first critical assignment is to
develop a decision
support system to analyze the charter data. (Review the
company's
operations in Problems 24–31 of Chapter 3, The Relational
Database Model.)
The charter operations manager wants to be able to analyze

charter data
such as cost, hours flown, fuel used, and revenue. She also
wants to be able
to drill down by pilot, type of airplane, and time periods.
Given those requirements, complete the following:
a. Create a star schema for the charter data.
b. Define the dimensions and attributes for the charter
operation's star
schema.
c. Define the necessary attribute hierarchies.
d. Implement the data warehouse design using the design
components
you developed in Problems 4a–4c.
e. Generate the reports to illustrate that your data warehouse
meets the
specified information requirements.
Using the data provided in the Ch13-SaleCo-DW database,
solve the following
problems. (Hint: In Problems 5–11, use the ROLLUP
command.)
5. What is the SQL command to list the total sales by customer
and by product,

with subtotals by customer and a grand total for all product
sales? Figure
P13.5 shows the abbreviated results of the query.
Figure P13.5
Problem 5 Abbreviated Result
6. What is the SQL command to list the total sales by customer,
month, and
product, with subtotals by customer and by month and a grand
total for all
product sales? Figure P13.6 shows the abbreviated results of the
query.
Figure P13.6
Problem 6 Abbreviated Result

7. What is the SQL command to list the total sales by region
and customer, with
subtotals by region and a grand total for all sales? Figure P13.7
shows the
result of the query.
Figure P13.7
Problem 7 Result
8. What is the SQL command to list the total sales by month and
product
category, with subtotals by month and a grand total for all
sales? Figure P13.8
shows the result of the query.
Figure P13.8
Problem 8 Result
9. What is the SQL command to list the number of product sales
(number of
rows) and total sales by month, with subtotals by month and a

grand total for
all sales? Figure P13.9 shows the result of the query.
Figure P13.9
Problem 9 Result
10. What is the SQL command to list the number of product
sales (number of
rows) and total sales by month and product category, with
subtotals by month
and product category and a grand total for all sales? Figure
P13.10 shows the
result of the query.
Figure P13.10
Problem 10 Result
11. What is the SQL command to list the number of product
sales (number of
rows) and total sales by month, product category, and product,
with subtotals

by month and product category and a grand total for all sales?
Figure P13.11
shows the result of the query.
Figure P13.11
Problem 11 Result
12. Using the answer to Problem 10 as your base, what
command would you
need to generate the same output but with subtotals in all
columns? (Hint: Use
the CUBE command.) Figure P13.12 shows the result of the
query.
Figure P13.12
Problem 12 Result
13. Create your own data analysis and visualization
presentation. The purpose of
this project is for you to search for a publicly available data set
using the
Internet and create your own presentation using what you have

learned in this
chapter.
a. Search for a data set that may interest you and download it.
Some
examples of public data sets sources are:
• http://www.data.gov
• http://data.worldbank.org
• http://aws.amazon.com/datasets
• http://usgovxml.com/
• https://data.medicare.gov/
• http://www.faa.gov/data_research/
b. Use any tool available to you to analyze the data. You can
use tools
such as MS Excel Pivot Tables, Pivot Charts, or other free
tools, such
as Google Fusion tables, Tableau free trial, IBM Many Eyes,
etc.

c. Create a short presentation to explain some of your findings
(what the
data sources are, where the data comes from, what the data
represents,
etc.)
Note
The visualization in Figure P13.13 was created using a data set
downloaded from one of the public sources listed above. A trial
version of Tableau was used to create the visualizations. This
simple
example illustrates the type of quick analysis you can do for
this
project.
Figure P13.13
Visualization Example Using Tableau
Source: Tableau

Chapter 13: Business Intelligence and Data Warehouses
Problems
Book Title: Database Systems: Design, Implementation, and
Management
Printed By: nalini chowala ([email protected])
© 2017 Cengage Learning, Cengage Learning
© 2018 Cengage Learning Inc. All rights reserved. No part of
this work may by reproduced or used in any form or by any
means - graphic, electronic, or mechanical, or in any other
manner - without the written permission of the copyright
holder.
/* DW-OLAP-SQL.TXT */
/* DATA WAREHOUSE OLAP SQL */
/* Script file for ORACLE DBMS */
/* CREATE TABLES */
@PAHTDW-DBINIT.SQL
/* ROLLUP EXAMPLE */
SELECT V_CODE, P_CODE,
SUM(SALE_UNITS*SALE_PRICE) AS TOTSALES
FROM DWDAYSALESFACT NATURAL JOIN
DWPRODUCT NATURAL JOIN DWVENDOR
GROUP BY ROLLUP (V_CODE, P_CODE)
ORDER BY V_CODE, P_CODE;
/* CUBE EXAMPLE */
SELECT TM_MONTH, P_CODE,
SUM(SALE_UNITS*SALE_PRICE) AS TOTSALES
FROM DWDAYSALESFACT NATURAL JOIN
DWPRODUCT NATURAL JOIN DWTIME

GROUP BY CUBE (TM_MONTH, P_CODE)
ORDER BY TM_MONTH, P_CODE;
/* MATERIALIZED VIEW EXAMPLE */
/* MUST CREATE MATERIALIZED VIEW LOGS ON BASE
TABLES FIRST */
/* CREATES MATERIALIZED VIEW LOG FILE
*/
/* ON BASE TABLES - REQUIRED IF DOING FAST
REFRESH */
/* FAST REFRESH OF MV WITH AGGREGATES REQUIRES:
*/
/* ROWID, SEQUENCE INCLUDING NEW VALUES */
CREATE MATERIALIZED VIEW LOG ON DWTIME
WITH ROWID, SEQUENCE INCLUDING NEW VALUES;
CREATE MATERIALIZED VIEW LOG ON
DWDAYSALESFACT
WITH ROWID, SEQUENCE INCLUDING NEW VALUES;
/* CREATE AMATERIALIZED VIEW TO REFRESH ON
COMMIT */
/* REFRESH ON COMMIT */
CREATE MATERIALIZED VIEW SALES_MONTH_MV
BUILD IMMEDIATE
REFRESH FORCE ON COMMIT
ENABLE QUERY REWRITE
AS SELECT TM_YEAR, TM_MONTH, P_CODE,
SUM(SALE_UNITS), SUM(SALE_PRICE*SALE_UNITS) AS
SUM_SALES
FROM DWTIME T, DWDAYSALESFACT S
WHERE S.TM_ID = T.TM_ID
GROUP BY TM_YEAR, TM_MONTH, P_CODE;
SELECT * FROM SALES_MONTH_MV ORDER BY
TM_YEAR, TM_MONTH, SUM_SALES;
COMMIT;
INSERT INTO DWDAYSALESFACT VALUES
(207,10017,'WR3/TT3',1,106.99);
COMMIT;

SELECT * FROM SALES_MONTH_MV ORDER BY
TM_YEAR, TM_MONTH, SUM_SALES;
/* DROP ALL OBJECTS CREATED */
DROP MATERIALIZED VIEW SALES_MONTH_MV;
DROP MATERIALIZED VIEW LOG ON DWTIME;
DROP MATERIALIZED VIEW LOG ON
DWDAYSALESFACT;
DELETE FROM DWDAYSALESFACT
WHERE TM_ID=207
AND CUS_CODE=10017
AND P_CODE='SM-18277';
COMMIT;
Project 2 Milestone 3: DW Reporting and Visualization
Due Dec 5 by 11:00AM Points 25 Submitting a file upload
Submit Assignment
ACIS 5504 – Project 2
Data Warehouse
Milestone 3: DW Reporting and Visualization
25 Points
Due: See Canvas Assignments Page
Overview
This milestone uses the implemented database that is the output
of Milestone 2 to produce reports and

visualizations implemented with SQL Rollup queries. This is
the final step in Project 2 and provides a hands-
on application of the concepts related to using a data warehouse
for addressing users' questions. It involves
writing the SQL queries needed to retrieve the data and thinking
from a user/management perspective to
determine the best visualizations for presenting this data.
The complete SQL needed to address management’s key
objectives using the fact and dimension tables of
the data warehouse are created along with a description of the
results suitable for presentation to
management.
A detailed project report should be submitted on the due date.
This project is to be done individually. This
may require additional reading and research.
This project will require more than 24 hours of work time to
complete.
To complete assignment, you should complete the following
activities:
1) Review the management questions you developed carefully.
2) For each question identify the fact and dimension tables
needed.

3) Complete the activities listed below under submission
requirements.
Assignment Resources
1) The populated database that implements the DW from
Milestone 2.
2) The management questions for most competitive advantage
from Milestone 1.
3) Review of Chapter 13;
4) Recorded lecture slides on Chapter 13;
https://www.coursehero.com/file/35107893/Project-2-
Milestone-3pdf/
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Business Situation Description:
You work for a large corporation that has just purchased 2 hotel
and resort corporations each consisting of
over 100 hotels. You have created a DW for the situation and
now need to demonstrate that it works by
creating the queries needed for reports and visualizations.
Submission Requirements (start with #8 to pick up where M2
ended with #7)
When completed, please upload your documents under the
“Assignments” tab in Canvas. Please use a
document naming convention that allows us to determine your
name. EXAMPLE:

“LastName_FirstName_Project2Milestone3.docx”.
8) Write the SQL that will be needed to answer the three most
important questions using your data
warehouse. This requires writing 3 SQL statements. (10 points)
For each question, show the query and sample results of
executing the query using your implemented
database from Milestone 2.
These sql statements should use the ROLLUP/CUBE features of
SQL for processing dimension data.
This script is from the textbook has sample rollup and cube
SQL: DW-OLAP-SQL.txt
9) Create a visualization for your first management question.
(Note: Figures P13.3.2G (page 615) and P13.3 (page 616) show
single fact tables with multiple
dimensions.
This assignment provides an opportunity to demonstrate the
value of your data warehouse from Project 2
Milestones 1 and 2. It involves exporting data from your data
warehouse to Excel (or Tableau or other
graphing package of your choice), then using the graphing tools
to create simple visualizations of your data.
Simple visualizations are excellent for communicating

effectively with users and managers.
Submit a picture of the visualization embedded in your
submission document followed by a short description
(2-3 sentences) that explains the visualization for the intended
user. (5 points)
11) Create a visualization for your second management
question. (Note: it must be different than the
first and ideally use different fact or dimension tables).
Submit a picture of the graph embedded your submission
document followed by a short description (2-3
sentences) that explains the visualization for the intended user.
(5 points)
12) Create a third visualization, it must be different than the
first two and should use different fact or
dimension tables.
Submit a picture of the graph embedded in your submission
document followed by a short description (2-3
sentences) that explains the visualization for the intended user.
(5 points)
Milestone-3pdf/
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Assessment
Your submission document will be checked for correctness and

completeness.
Connecting Assignments
This milestone takes the populated database for the DW from
milestone 2 and uses it to produce reports and
visualizations that answer the questions from Milestone 1. It is
the final step that demonstrates the value of
implementing a DW.
Milestone-3pdf/
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Milestone-3pdf/
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