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Chapter 3 Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence Building Business Intelligence
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Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

Dec 21, 2015

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Page 1: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

Chapter 3Chapter 3 DATABASES AND DATA WAREHOUSES

Building Business IntelligenceBuilding Business Intelligence

Chapter 3Chapter 3 DATABASES AND DATA WAREHOUSES

Building Business IntelligenceBuilding Business Intelligence

Page 2: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

STUDENT LEARNING OUTCOMES

Page 3: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

CAN COMPANIES KEEP YOUR PERSONAL INFORMATION PRIVATE

AND SECURE?

Page 4: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

Big Information Loss Examples

Page 5: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

Questions

1. Have you been a victim of identity theft? If so, what happened?

2. What can you do to protect yourself from identity theft?

3. How many organizations have your credit card number?

Page 6: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

INTRODUCTION

• Businesses use many IT tools to manage and organize information for many reasons

• Online transaction processing (OLTP)

• Online analytical processing (OLAP)

Page 7: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

INTRODUCTION

• OLTP

• OLAP

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OLTP, OLAP, and Business Intelligence

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CHAPTER ORGANIZATION

1. Relational Database Model

2. Database Management System Tools

3. Data Warehouses and Data Mining

4. Business Intelligence Revisited

5. Information Ownership

Page 10: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

RELATIONAL DATABASE MODEL

• Database

• Relational database

Page 11: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

Database Characteristics

Page 12: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

Database – Collection of Information

Page 13: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

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.

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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

Page 15: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

Database – Logical Ties within the Information

Page 16: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

Databases – Built-In Integrity Constraints

• Integrity constraints

• Data dictionary

• Foreign keys

Page 17: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

DATABASE MANAGEMENT SYSTEM TOOLS

• Database management system (DBMS)

Page 18: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

5 Components of a DBMS

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DBMS Engine

• DBMS engine

• Physical view

• Logical view

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Data Definition Subsystem

• Data definition subsystem

• The data dictionary helps you define…

Page 21: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

Data Manipulation Subsystem

• Data manipulation subsystem

• Includes views, report generators, query-by-example tools, and structured query language

Page 22: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

View

• View

Binoculars

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Report Generator

• Report generator

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Query-by-Example Tool

• QBE tool

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Structured Query Language

• SQL

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Application Generation Subsystem

• Application generation subsystem

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Data Administration Subsystem

• Data administration subsystem

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Data Administration Subsystem

• Backup and recovery

– Backup

– Recovery

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Data Administration Subsystem

• Security management

• Query optimization

• Reorganization

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Data Administration Subsystem

• Concurrency control

• Change management

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DATA WAREHOUSES AND DATA MINING

• Help you build and work with business intelligence and some forms of knowledge

• Data warehouse

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Data Warehouse Characteristics

• Multidimensional

• Support decision making, not transaction processing

Page 33: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

Data-Mining Tools

• Data-mining tools

Page 34: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

Data-Mining Tools

• Query-and-reporting tools

• Intelligent agents

• Multidimensional analysis (MDA tools)

• Statistical tools

Page 35: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

Data Marts

• Data mart

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Data Warehouse Considerations

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BUSINESS INTELLIGENCE REVISITED

• Business intelligence (BI)

• Hot topic in business today• Current market is $50 billion and double-

digit annual growth

Page 38: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

BI Objectives

• Help people understand several things:

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Building Business Intelligence

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Viewing Business Intelligence

• Digital dashboard

Page 41: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

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:

Page 42: Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence.

Strategic Management Support

• Covered many c-level positions in Chapter 2 for IT

• 2 others in information management• Data administration

• Database administration

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Sharing Information

• Everyone can share – while not consuming – information

• But someone must “own” it by accepting responsibility for its quality and accuracy

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Information Cleanliness