1. Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence

2. STUDENT LEARNING OUTCOMES

3. CAN COMPANIES KEEP YOUR PERSONAL INFORMATION PRIVATE AND SECURE?

4. Big Information Loss Examples

5. Questions
Have you been a victim of identity theft? If so, what happened?
What can you do to protect yourself from identity theft?
How many organizations have your credit card number?

6. INTRODUCTION
Businesses use many IT tools to manage and organize information for many reasons
Online transaction processing (OLTP)
Online analytical processing (OLAP)

7. INTRODUCTION
OLTP
OLAP

8. OLTP, OLAP, and Business Intelligence

9. CHAPTER ORGANIZATION Relational Database Model
Database Management System Tools
Data Warehouses and Data Mining
Business Intelligence Revisited
Information Ownership

10. RELATIONAL DATABASE MODEL

11. Database Characteristics

12. Database – Collection of Information

13. Database – Created with Logical Structures
Data dictionary
Before you can enter information into a database, you must define the data dictionary for all the tables and their fields. For example, when you create the Truck table, you must specify that it will have three pieces of information and that Date of Purchase is a field in Date format.

14. Database – Logical Ties within the Information
Primary key
Foreign key
Customer Number is the primary key for Customer and appears in Order as a foreign key

15. Database – Logical Ties within the Information

16. Databases – Built-In Integrity Constraints
Data dictionary
Foreign keys

17. DATABASE MANAGEMENT SYSTEM TOOLS
Database management system (DBMS)

18. 5 Components of a DBMS

19. DBMS Engine
DBMS engine
Physical view
Logical view

20. Data Definition Subsystem
The data dictionary helps you define…

21. Data Manipulation Subsystem
Includes views, report generators, query-by-example tools, and structured query language

22. View
View
Binoculars

23. Report Generator
Report generator

24. Query-by-Example Tool
QBE tool

25. Structured Query Language
SQL

26. Application Generation Subsystem

27. Data Administration Subsystem

28. Data Administration Subsystem
Backup and recovery
Backup
Recovery

29. Data Administration Subsystem
Security management
Query optimization
Reorganization

30. Data Administration Subsystem
Concurrency control
Change management

31. DATA WAREHOUSES AND DATA MINING
Help you build and work with business intelligence and some forms of knowledge
Data warehouse

32. Data Warehouse Characteristics
Multidimensional
Support decision making, not transaction processing

33. Data-Mining Tools
Data-mining tools

34. Data-Mining Tools Query-and-reporting tools Intelligent agents
Multidimensional analysis (MDA tools)
Statistical tools

35. Data Marts
Data mart

36. Data Warehouse Considerations

37. BUSINESS INTELLIGENCE REVISITED
Business intelligence (BI)
Hot topic in business today
Current market is $50 billion and double-digit annual growth

38. BI Objectives
Help people understand several things:

39. Building Business Intelligence

40. Viewing Business Intelligence
Digital dashboard

41. INFORMATION OWNERSHIP
Information is a resource you must manage and organize to help the organization meet its goals and objectives
You need to consider several things:

42. Strategic Management Support
Covered many c-level positions in Chapter 2 for IT
2 others in information management
Data administration
Database administration

43. Sharing Information
Everyone can share – while not consuming – information
But someone must “own” it by accepting responsibility for its quality and accuracy

44. Information Cleanliness