CHAPTER 5

Data and 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

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Data Governance

•Data Governance

•Master Data Management

•Master Data

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

Database Management Systems

Data Hierarchy

Bit

Byte

Field

Record

File (or table)

Database

Designing the Database

Data modelEntity

Attribute

Primary key

Entity-relationship diagram model

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.

Normalization Produces Order

Data Warehouse Framework & Views

Knowledge Management

Tacit Knowledge(below the waterline)

Explicit Knowledge (above the waterline)

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