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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/Exabyte
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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.html
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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.html
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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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    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.htm
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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.

    http://www.olapcouncil.org/http://www.olapcouncil.org/
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    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

    http://en.wikipedia.org/wiki/OLAPhttp://en.wikipedia.org/wiki/OLAP
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    OLAP Product Family

    and Store Type

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    OLAP Product Family and

    Store Location by Store Type

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    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.html
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    Components of a Data Warehouse

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    Example Typical of Customer

    Credit Data

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    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.

    http://www.webopedia.com/TERM/d/dirty_data.htmlhttp://www.webopedia.com/TERM/d/dirty_data.html
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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.html
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    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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    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.

    http://www.whatisrss.com/http://www.whatisrss.com/
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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=116408
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    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