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Business Intelligence
SystemsDavid Kroenke
Using MIS 3e
Chapter 9
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-2
Study Questions
Q1 Why do organizations need business
intelligence?
Q2 What business intelligence systems are available?
Q3 What are typical reporting applications?
Q4 What are typical data-mining applications?
Q5 What is the purpose of data warehouses and data marts?
Q6 What are typical knowledge-management applications?
Q7 How are business intelligence applications delivered?
Q8 2020?
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-3
Why Do Organizations Need
Business Intelligence?
Information systems generate enormous amountsof operational data that contain patterns,
relationships, clusters, and other information that
can facilitate management, especially planning and
forecasting. Business intelligence systems producesuch information from operational data.
Data communications and data storage are
essentially free, enormous amounts of data are
created and stored every day. 12,000 gigabytes per person of data, worldwide
in 2009
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-4
How Big Is an Exabyte?
http://en.wikipedia.org/wiki/Exabytehttp://en.wikipedia.org/wiki/Exabyte8/10/2019 kroenke_umis3e_ch09edi
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-5
Study Questions
Q1 Why do organizations need business intelligence?
Q2 What business intelligence systems are
available?
Q3 What are typical reporting applications?
Q4 What are typical data-mining applications?
Q5 What is the purpose of data warehouses and data marts?
Q6 What are typical knowledge-management applications?
Q7 How are business intelligence applications delivered?
Q8 2020?
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-6
Business Intelligence (BI) Tools
BI systems provide valuable information for decision making.(BI video)
Three primary BI systems:
1. Reporting Tools
Integrate data from multiple systems
Sorting, grouping, summing, averaging, comparing data
2. Data-mining Tools
Use sophisticated statistical techniques, regression analysis,
and decision tree analysis
Used to discover hidden patterns and relationships
Market-basket analysis
http://www.webopedia.com/TERM/B/Business_Intelligence.htmlhttp://www.webopedia.com/TERM/B/Business_Intelligence.htmlhttp://media.pearsoncmg.com/ph/bp/bp_akamai/mymislab/DMK2_9-1.htmlhttp://en.wikipedia.org/wiki/Data_mininghttp://en.wikipedia.org/wiki/Data_mininghttp://en.wikipedia.org/wiki/Data_mininghttp://en.wikipedia.org/wiki/Data_mininghttp://media.pearsoncmg.com/ph/bp/bp_akamai/mymislab/DMK2_9-1.htmlhttp://www.webopedia.com/TERM/B/Business_Intelligence.htmlhttp://www.webopedia.com/TERM/B/Business_Intelligence.html8/10/2019 kroenke_umis3e_ch09edi
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-7
Business Intelligence Tools
3. Knowledge-management tool Create value by collecting and sharing human
knowledge about products, product uses,
best practices, other critical knowledge
Used by employees, managers, customers,
suppliers, others who need access to
company knowledge
http://www.webopedia.com/TERM/B/Business_Intelligence.htmlhttp://en.wikipedia.org/wiki/Knowledge_management_systemhttp://en.wikipedia.org/wiki/Knowledge_management_systemhttp://en.wikipedia.org/wiki/Knowledge_management_systemhttp://en.wikipedia.org/wiki/Knowledge_management_systemhttp://www.webopedia.com/TERM/B/Business_Intelligence.html8/10/2019 kroenke_umis3e_ch09edi
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-8
Study Questions
Q1 Why do organizations need business intelligence?
Q2 What business intelligence systems are available?
Q3 What are typical reporting applications?
Q4 What are typical data-mining applications?
Q5 What is the purpose of data warehouses and data marts?
Q6 What are typical knowledge-management applications?
Q7 How are business intelligence applications delivered?
Q8 2020?
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-9
Basic Reporting Operations
Reporting tools produce information fromdata using five basic operations:
Sorting
Grouping
Calculating
Filtering
Formatting
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-10
List of Sales Data
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-11
Sales Data,
Sorted by
Customer Name
and Groupedby Orders and
Purchase
Amount
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-12
Sales Data Filtered to Show
Repeat Customers and Formatted
for Easier Understanding
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-13
RFM Analysis
RFM analysisallows you to analyze and rankcustomers according to purchasing patterns as this
figure shows.
R = how recently a customer purchased your
products F = how frequently a customer purchases your
products
M = how much money a customer typically
spends on your products
http://www.dbmarketing.com/articles/Art149.htmhttp://www.dbmarketing.com/articles/Art149.htm8/10/2019 kroenke_umis3e_ch09edi
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-14
Online Analytical Processing
(OLAP)
OLAP, a second type of reporting tool, ismore generic than RFM.
OLAP provides the ability to sum, count,
average, and perform other simplearithmetic operations on groups of data.
Remarkable characteristic of OLAP reports
is that they are dynamic. The viewer of the
report can change reports format, hencethe term online.
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-15
How Are OLAP Reports Dynamic?
OLAPreports Simple arithmetic operations on data
Sum, average, count, and so on
Dynamic User can change report structure
View online
Measure Data item to be manipulatedtotal sales, average cost
Dimension Characteristic of measurepurchase date, customer
type, location, sales region
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-16
OLAP Product Family
and Store Type
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-17
OLAP Product Family and
Store Location by Store Type
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-18
Role of OLAP Server
and OLAP Database
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-19
Study Questions
Q1 Why do organizations need business intelligence?
Q2 What business intelligence systems are available?
Q3 What are typical reporting applications?
Q4 What are typical data-mining applications?
Q5 What is the purpose of data warehouses and data marts?Q6 What are typical knowledge-management applications?
Q7 How are business intelligence applications delivered?
Q8 2020?
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-20
Convergence of Disciplines and
Information Technology
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-21
Study Questions
Q1 Why do organizations need business intelligence?
Q2 What business intelligence systems are available?
Q3 What are typical reporting applications?
Q4 What are typical data-mining applications?
Q5 What is the purpose of data warehouses anddata marts?
Q6 What are typical knowledge-management applications?
Q7 How are business intelligence applications delivered?
Q8 2020?
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-22
What Is the Purpose of Data
Warehouses and Data Marts?
Purpose: (video) To extract and clean data from various
operational systems and other sources
To store and catalog data for BIprocessing
Extract, clean, prepare data
Stored in data-warehouse DBMS
http://media.pearsoncmg.com/ph/bp/bp_akamai/mymislab/DMK2_9-2.htmlhttp://media.pearsoncmg.com/ph/bp/bp_akamai/mymislab/DMK2_9-2.html8/10/2019 kroenke_umis3e_ch09edi
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Components of a Data Warehouse
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-24
Example Typical of Customer
Credit Data
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-25
Problems with Operational Data
Dirty datamistakes in spelling or punctuation,incorrect data associated with a field, incomplete oroutdated data or even data that is duplicated in thedatabase.
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-26
Data Warehouses vs. Data Marts
Data mart is a collection of data (video) Created to address particular needs
Business function
Problem
Opportunity Smaller than data warehouse
Users may not have data management expertise
Need knowledgeable analysts for specific function
Data extracted from data warehouse for afunctional area
http://media.pearsoncmg.com/ph/bp/bp_akamai/mymislab/DMK2_9-3.htmlhttp://media.pearsoncmg.com/ph/bp/bp_akamai/mymislab/DMK2_9-3.html8/10/2019 kroenke_umis3e_ch09edi
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-27
Components of a Data Mart
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-28
Study Questions
Q1 Why do organizations need business intelligence?
Q2 What business intelligence systems are available?
Q3 What are typical reporting applications?
Q4 What are typical data-mining applications?
Q5 What is the purpose of data warehouses and data marts?Q6 What are typical knowledge management
applications?
Q7 How are business intelligence applications delivered?
Q8 2020?
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-29
Knowledge Management (KM)
The process of creating value from
intellectual capital and sharing that
knowledge with employees, managers,
suppliers, customers, and others who need it. Reporting and data mining are used to create
new information from data, knowledge-
management systems concern the sharing of
knowledge that is known to exist.
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-30
Primary Benefits of KM
1. KM fosters innovation by encouraging the free flow of ideas.2. KM improves customer service by streamlining response time.
3. KM boosts revenues by getting products and services to
market faster.
4. KM enhances employee retention rates by recognizing the
value of employees knowledge and rewarding them for it.
5. KM streamlines operations and reduces costs by eliminating
redundant or unnecessary processes.
6. KM preserves organizational memory by capturing and storing
the lessons learned and best practices of key employees.
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-31
Sharing of Document Content and
Employee Knowledge
Sharing Document Content
Collaboration systems are concerned with
document creation and change
management, KM applications areconcerned with maximizing content use.
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-33
Two Typical Knowledge-
Management Applications
RSS(Real Simple Syndication)a standard for subscribing tocontent sources on Web sites. An RSS Reader program helps
users to:
Subscribe to content sources.
Periodically check sources for new or updated content through RSS
feeds. Place content summaries in an RSS inbox with link to the full
content.
Think of RSS as an email system for content
Data source must provide what is termed an RSS feed, which
simply means that the site posts changes according to one of theRSS standards.
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-34
Study Questions
Q1 Why do organizations need business intelligence?
Q2 What business intelligence systems are available?
Q3 What are typical reporting applications?
Q4 What are typical data-mining applications?
Q5 What is the purpose of data warehouses and data marts?Q6 What are typical knowledge-management applications?
Q7 How are business intelligence applications
delivered?
Q8 2020?
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-35
How Are Business Intelligence
Applications Delivered?
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-36
BI Portals
Portals might provide common data such as localweather, and links to company news, and to BI
application results such as reports on daily sales,
operations, new employees, and results of data-
mining applications. Authorized users are allowed to place reports,
data-mining results, or other BI application results
on their customized pages.
BI application server pushesthe subscribedresults to the user.
http://www.biportal.org/Default.aspx?pageId=90410&mode=PostView&bmi=116408http://www.biportal.org/Default.aspx?pageId=90410&mode=PostView&bmi=1164088/10/2019 kroenke_umis3e_ch09edi
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-37
What Are the Delivery Functions
of a BI Server?
Track authorized users
Track the schedule for providing results to users
Issue exception alerts that notify users of an exceptional event
Procedures used depends on the nature of the BI system
Procedures tend to be more flexible than those in anoperational system because users of a BI system tend to be
engaged in work that is neither structured nor routine
Procedures are determined by unique requirements of users
BI results can be delivered to any device, such as computers,PDAs, phones, other applications such as Microsoft Office, and
as a SOA service
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-38
Study Questions
Q1 Why do organizations need business intelligence?
Q2 What business intelligence systems are available?
Q3 What are typical reporting applications?
Q4 What are typical data-mining applications?
Q5 What is the purpose of data warehouses and data marts?Q6 What are typical knowledge-management applications?
Q7 How are business intelligence applications delivered?
Q8 2020?
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Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 9-39
2020?
Through data mining, companies, known as data aggregators,will know more about your purchasing psyche than you, your
mother, or your analyst.
If you use your card to purchase secondhand clothing, retread
tires, bail bond services, massages, casino gambling or betting
you alert the credit card company of potential financialproblems and, as a result, it may cancel your card or reduce
your credit limit.
Absent laws to the contrary, by 2020 your credit card data will
be fully integrated with personal and family data maintained by
the data aggregators (like Acxiom and ChoicePoint). By 2020, some online retailers will know a lot more about you,
data aggregators, and most consumers purchases than well
know ourselves.
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C i ht 2011 P Ed ti I P bli hi P ti H ll 9 40
All rights reserved. No part of this publication may be reproduced, stored in a
retrieval system, or transmitted, in any form or by any means, electronic,
mechanical, photocopying, recording, or otherwise, without the prior written
permission of the publisher. Printed in the United States of America.Copyright 2011 Pearson Education, Inc.
Publishing as Prentice Hall