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Developing A Strategy For The Internet Age The Five Forces Model

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Title: Developing A Strategy For The Internet Age The Five Forces Model


1
Developing A Strategy For The Internet Age The
Five Forces Model
Video porter
2
  • What is the major role of UTZ information
    systems?
  • What are the characteristics of the information
    UTZ receives that would make it valuable?
  • Analyze the industry that UTZ is in using the
    porter model, is it a good industry to be in?
  • What competitive advantage do you feel Utz has?
    How does information play into that competitive
    advantage

3
Databases and Warehouses
  • Building Business Intelligence

4
  • To make good and accurate decisions and work in
    the most productive and efficient way, knowledge
    workers today need
  • (1) access to information and
  • (2) tools to work with that information.

5
Business Intelligence
  • What is it?
  • Business intelligence is knowledge knowledge
    about your customers, your competitors, your
    partners, your competitive environment, and your
    own internal operations
  • Where is BI found?
  • Databases Data warehouses

6
Key Terms
  • Online transaction processing (OLTP)
  • the gathering of input information, processing
    that information, and updating existing
    information to reflect the gathered and processed
    information.
  • Operational database
  • database that supports OLTP.
  • Online analytical processing (OLAP)
  • the manipulation of information to support
    decision making.

7
Business Intelligence
8
Hierarchy of Data
9
THE RELATIONAL DATABASE MODEL
  • Database
  • A collection of information that you organize and
    access according to the logical structure of that
    information.
  • Relational database model
  • uses a series of logically related
    two-dimensional tables (called relations) or
    files to store information in the form of a
    database.
  • Relation
  • describes each two-dimensional table or file in
    the relational model.
  • The word relation here is in reference to the
    collection of the data within one specific table.

10
  • By carefully examining the definition given to
    relational databases we can clearly identify
    two parts to it
  • Information stored in a series of two
    dimensional tables, files, or relations.
  • Logical structure of the information.

11
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12
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13
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14
Data dictionary contains the logical structure
for the information.
15
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16
  • Database management system (DBMS)
  • helps you specify the logical organization for a
    database and access and use (manipulating) the
    information within a database.

17
DATABASE MANAGEMENT SYSTEM TOOLS
  • DBMS Engine
  • Data Definition Subsystem
  • Data Manipulation Subsystem
  • Application Generation Subsystem
  • Data Administration Subsystem

18
The DBMS
  • Figure 3.4
  • Software Subsystems of a Database Management
    System
  • page 85

19
Traditional Approach to Data Management
20
Database Approach to Data Management
21
Advantages of Database Approach
  • Improved strategic use of corporate data
  • Reduced data redundancy
  • Improved data integrity
  • Easier modification and updating
  • Data and program independence
  • Better access to data and information
  • Standardization of data access
  • Framework for program development
  • Better overall protection of the data
  • Shared data and information resources

22
Disadvantages of Database Approach
  • Relatively high cost of purchasing and operating
    a DBMS in a mainframe operating environment
  • Increased cost of specialized staff
  • Increased vulnerability

23
DATA WAREHOUSES AND DATA MINING
  • What Is a Data Warehouse?
  • What Are Data Mining Tools?
  • Data Marts Smaller Data Warehouses
  • Important Considerations in Using a Data Warehouse

24
Data Warehouses and Data Mining Data Warehouses
Are Multidimensional
  • Figure 3.8
  • A Multidimensional Data Warehouse with
    Information from Multiple Operational Databases

25
Elements of a Data Warehouse
26
Data Warehouses and Data Mining Data Marts
Smaller Data Warehouses
  • Data mart - a subset of a data warehouse in which
    only a focused portion of the data warehouse
    information is kept.

Data Marts Are Subsets of Data Warehouse
27
  • Data Mining an information analysis tool that
    involves the automated discovery of patterns and
    relationships in a data warehouse
  • Applications
  • Market segmentation
  • Customer churn
  • Fraud detection
  • Direct marketing
  • Market basket analysis
  • Trend analysis

28
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29
How Up-to-Date Should Data Warehouse Information
Be?
  • To adjust class sizes in a university
    registration system
  • To alert people to changes in weather conditions
    To predict scores in professional football games
  • To adjust radio advertisements in light of
    demographic changes
  • To monitor the success of a new product line in
    the clothing retail industry
  • To adjust production levels of foods in a
    cafeteria
  • To switch jobs to various printers in a network
    by the minute.
  • To adjust CD rates in a bank
  • To adjust forecasted demands of tires in an auto
    parts store

30
MANAGING THE INFORMATION RESOURCE IN AN
ORGANIZATION
  • Who Should Oversee the Organizations
    Information?
  • How Will Changes in Technology Affect Organizing
    and Managing Information?
  • Is Information Ownership a Consideration?
  • What Are the Ethics Involved in Managing and
    Organizing Information?

31
OLTP and Data Warehousing
32
OLTP and Data Mining
33
                                                                                                          
                                                                
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34
  • Databases and data warehouses clearly make it
    easier for people to access all kinds of
    information. This will lead to great debates in
    the area of privacy. Should organizations be
    left to police themselves with respect to
    providing access to information or should the
    government impose privacy legislation? Answer
    this question with respect to (1) customer
    information shared by organizations (2) employee
    information shared within a specific
    organization and (3) business information
    available to customers.

35
  • Consider that you work in the human resources
    management department of a local business and
    that many of your friends work there. Although
    you dont personally generate payroll checks, you
    still have the ability to look up anyones pay.
    Would you check on your friends to see if theyre
    earning more money than you? For that matter,
    would you look up their pay just out of simple
    curiosity, knowing that you would never do
    anything with the information or share it with
    anyone else? Why or why not? People working at
    the Revenue Canada tax department were caught
    just curiously looking up the reported incomes of
    movie stars and other high-profile public
    figures. Is this acceptable? Why or why not?
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