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Developing A Strategy For The Internet Age The Five Forces Model

Developing A Strategy For The Internet Age The Five Forces Model. Video: porter. What is the major role of UTZ information systems? What are the characteristics of the information UTZ receives that would make it valuable?

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Developing A Strategy For The Internet Age The Five Forces Model

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  1. Developing A Strategy For The Internet AgeThe 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. Data dictionary – contains the logical structure for the information.

  12. Database management system (DBMS) • helps you specify the logical organization for a database and access and use (manipulating) the information within a database.

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

  14. The DBMS Figure 3.4 Software Subsystems of a Database Management System page 85

  15. Traditional Approach to Data Management

  16. Database Approach to Data Management

  17. 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 Advantages of Database Approach

  18. 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

  19. 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

  20. Data Warehouses and Data MiningData Warehouses Are Multidimensional Figure 3.8 A Multidimensional Data Warehouse with Information from Multiple Operational Databases

  21. Elements of a Data Warehouse

  22. Data Warehouses and Data MiningData 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

  23. 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

  24. 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

  25. MANAGING THE INFORMATION RESOURCE IN AN ORGANIZATION • Who Should Oversee the Organization’s 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?

  26. OLTP and Data Warehousing

  27. OLTP and Data Mining

  28. 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.

  29. Consider that you work in the human resources management department of a local business and that many of your friends work there. Although you don’t personally generate payroll checks, you still have the ability to look up anyone’s pay. Would you check on your friends to see if they’re 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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