1. Fundamentals of Information Systems, Second Edition 1 Organizing Data and Information

2. Fundamentals of Information Systems, Second Edition 2 Principles and Learning Objectives The database approach to data management provides significant advantages over the traditional file-based approach.

3. Fundamentals of Information Systems, Second Edition 3 Principles and Learning Objectives A well-designed and well-managed database is an extremely valuable tool in supporting decision making.

4. Fundamentals of Information Systems, Second Edition 4 Principles and Learning Objectives Further improvements in the use of database technology will continue to evolve and yield real business benefits.

5. Fundamentals of Information Systems, Second Edition 5 The Traditional Approach To Data Management

6. Fundamentals of Information Systems, Second Edition 6 The Database Approach to Data Management

7. Fundamentals of Information Systems, Second Edition 7 Advantages of the Database Approach

8. Fundamentals of Information Systems, Second Edition 8 Disadvantages of the Database Approach

9. Fundamentals of Information Systems, Second Edition 9 Data Modeling Entity-relationship diagrams

10. Fundamentals of Information Systems, Second Edition 10 Entity-Relationship Diagram for a Customer Ordering Database

11. Fundamentals of Information Systems, Second Edition 11 Relational Database Model

12. Fundamentals of Information Systems, Second Edition 12 Relational Models Describe data using a standard tabular format with all data elements placed in two-dimensional tables, called relations. –Domain –Selecting –Projecting –Joining

13. Fundamentals of Information Systems, Second Edition 13 Linking Database Tables to Answer an Inquiry

14. Fundamentals of Information Systems, Second Edition 14 Database Management Systems

15. Fundamentals of Information Systems, Second Edition 15 Providing a User View Schema - a description of the entire database Subschema - a file that contains a description of a subset of the database and identifies which users can modify the data items in that subset

16. Fundamentals of Information Systems, Second Edition 16 The Use of Schemas and Subschemas

17. Fundamentals of Information Systems, Second Edition 17 Creating and Modifying the Database Data definition language (DDL) - a collection of instructions and commands used to define and describe data and data relationships in a specific database Data dictionary – detailed description of data in a database

18. Fundamentals of Information Systems, Second Edition 18 Typical Uses of a Data Dictionary Provide a standard definition of terms and data elements Assist programmers in designing and writing programs Simplify database modification Reduce data redundancy Increase data reliability Speed program development Ease modification of data and information

19. Fundamentals of Information Systems, Second Edition 19 Storing and Retrieving Data

20. Fundamentals of Information Systems, Second Edition 20 Structured Query Language

21. Fundamentals of Information Systems, Second Edition 21 Database Output

22. Fundamentals of Information Systems, Second Edition 22 Database Applications

23. Fundamentals of Information Systems, Second Edition 23 Data Warehouses, Data Marts, and Data Mining Data Warehouse - a database that collects business information from many sources in the enterprise, covering all aspects of the company’s processes, products, and customers. Data Mart – a subset of a data warehouse. Data Mining - an information analysis tool that involves the automated discovery of patterns and relationships in a data warehouse.

24. Fundamentals of Information Systems, Second Edition 24 Elements of a Data Warehouse

25. Fundamentals of Information Systems, Second Edition 25 Common Data Mining Applications

26. Fundamentals of Information Systems, Second Edition 26 Business Intelligence Gathering enough of the right information in a timely manner and usable form. –Competitive intelligence –Counterintelligence –Knowledge management

27. Fundamentals of Information Systems, Second Edition 27 Comparison of OLAP and Data Mining