Data and Knowledge Management

advertisement

CHAPTER 5

Data and

Knowledge

Management

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

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.

DIFFICULTIES OF MANAGING

DATA

• Amount of data increasing exponentially

• Data are scattered throughout organizations and collected by many individuals using various methods and devices.

• Data come from many sources.

• Data security, quality, and integrity are critical.

DIFFICULTIES OF MANAGING

DATA

• Amount of data increasing exponentially

• Data are scattered throughout organizations and collected by many individuals using various methods and devices.

• Data security, quality, and integrity are critical.

DATA GOVERNANCE

• Data Governance

• Master Data Management

• Master Data

See video

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

John Stevens

Intro to Management Information Systems

ISMN 3140

10 AM until 11 AM

Mondays and Wednesdays

Room 41 Smith Hall

Professor Rainer

Master Data

Student

Course

Course No.

Time

Weekday

Location

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

DATABASE MANAGEMENT SYSTEMS

DATA HIERARCHY

Bit

Byte

Field

Record

File (or table)

Database

HIERARCHY OF DATA FOR A

COMPUTER-BASED FILE

DATA HIERARCHY (CONTINUED)

Bit (binary digit)

Byte (eight bits)

DATA HIERARCHY (CONTINUED)

Example of Field and Record

DATA HIERARCHY (CONTINUED)

Example of Field and Record

DESIGNING THE DATABASE

Data model

Entity

Attribute

Primary key

Secondary keys

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

RELATIONSHIPS BETWEEN

ENTITIES

ENTITY-RELATIONSHIP DIAGRAM

MODEL

5.3

DATABASE MANAGEMENT SYSTEMS

Database management system (DBMS)

Relational database model

Structured Query Language (SQL)

Query by Example (QBE)

STUDENT DATABASE EXAMPLE

NORMALIZATION

Normalization

Minimum redundancy

Maximum data integrity

Best processing performance

Normalized data occurs when attributes in the table depend only on the primary key.

NON-NORMALIZED RELATION

NORMALIZING THE DATABASE (PART A)

NORMALIZING THE DATABASE (PART B)

NORMALIZATION PRODUCES ORDER

5.4

DATA WAREHOUSING

Data warehouses and Data Marts

Organized by business dimension or subject

Multidimensional

Historical

Use online analytical processing

DATA WAREHOUSE FRAMEWORK &

VIEWS

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)

Explicit Knowledge

(above the waterline)

Tacit Knowledge

(below 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

KNOWLEDGE MANAGEMENT SYSTEM

CYCLE

Download