Post on 23-Dec-2015
CHAPTER OUTLINE
5.1 Managing Data
5.2 The Database Approach
5.3 Database Management Systems
5.4 Data Warehouses and Data Marts
5.5 Knowledge Management
LEARNING OBJECTIVES
1. Identify three common challenges in managing data, and describe one way organizations can address each challenge using data governance.
2. Name six problems that can be minimized by using the database approach.
3. Demonstrate how to interpret relationships depicted in an entity-relationship diagram.
4. Discuss at least one main advantage and one main disadvantage of relational databases.
Learning Objectives (continued)
5. Identify the six basic characteristics of data warehouses, and explain the advantages of data warehouses and marts to organizations.
6. Demonstrate the use of a multidimensional model to store and analyze data.
7. List two main advantages of using knowledge management, and describe the steps in the knowledge management system cycle.
Annual Flood of Data from…..
Credit card swipes
E-mails
Digital video
Online TV
RFID tags
Blogs
Digital video surveillance
Radiology scans
Source: Media Bakery
Annual Flood of New Data!
In the zettabyte range
A zettabyte is 1000 exabytes
© Fanatic Studio/Age Fotostock America, Inc.
Master Data Management
John Stevens registers for Introduction to Management Information Systems (ISMN 3140) from 10 AM until 11 AM on Mondays and Wednesdays in Room 41 Smith Hall, taught by Professor Rainer.
Transaction Data Master DataJohn Stevens StudentIntro to Management Information Systems CourseISMN 3140 Course No.10 AM until 11 AM TimeMondays and Wednesdays WeekdayRoom 41 Smith Hall LocationProfessor Rainer Instructor
5.2 The Database Approach
Database management system (DBMS) minimize the following problems:
Data redundancy
Data isolation
Data inconsistency
Database Approach (continued)
DBMSs maximize the following issues:
Data security
Data integrity
Data independence
Entity-Relationship Modeling
Database designers plan the database design in a process called entity-relationship (ER) modeling.
ER diagrams consists of entities, attributes and relationships.
Entity classes
Instance
Identifiers
5.3 Database Management Systems
Database management system (DBMS)
Relational database model
Structured Query Language (SQL)
Query by Example (QBE)
Normalization
Normalization
Minimum redundancy
Maximum data integrity
Best processing performance
Normalized data occurs when attributes in the table depend only on the primary key.
5.4 Data Warehousing
Data warehouses and Data Marts Organized by business dimension or subject
Multidimensional
Historical
Use online analytical processing
Benefits of Data Warehousing
End users can access data quickly and easily via Web browsers because they are located in one place.
End users can conduct extensive analysis with data in ways that may not have been possible before.
End users have a consolidated view of organizational data.
5.5 Knowledge Management
Knowledge management (KM)
Knowledge
Intellectual capital (or intellectual assets)
© Peter Eggermann/Age Fotostock America, Inc.
Knowledge Management (continued)
Tacit Knowledge(below the waterline)
Explicit Knowledge (above the waterline)
© Ina Penning/Age Fotostock America, Inc.
Knowledge Management (continued)
Knowledge management systems (KMSs)
Best practices
© Peter Eggermann/Age Fotostock America, Inc.
Knowledge Management System Cycle
Create knowledge
Capture knowledge
Refine knowledge
Store knowledge
Manage knowledge
Disseminate knowledge