1. CHAPTER 5 Data and Knowledge Management

2. 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

3. Annual Flood of New Data! In the zettabyte range A zettabyte is 1000 exabytes © Fanatic Studio/Age Fotostock America, Inc.

4. Data Governance Master Data Management Master Data

5. 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 Data John StevensStudent Intro to Management Information SystemsCourse ISMN 3140Course No. 10 AM until 11 AMTime Mondays and WednesdaysWeekday Room 41 Smith HallLocation Professor RainerInstructor

6. 5.2 The Database Approach Database management system (DBMS) minimize the following problems: Data redundancy Data isolation Data inconsistency

7. Database Approach (continued) DBMSs maximize the following issues: Data security Data integrity Data independence

8. Database Management Systems

9. Data Hierarchy Bit Byte Field Record File (or table) Database

10. Designing the Database Data model Entity Attribute Primary key

11. Entity-relationship diagram model

12. 5.3 Database Management Systems Database management system (DBMS) Relational database model Structured Query Language (SQL) Query by Example (QBE)

13. Normalization Minimum redundancy Maximum data integrity Best processing performance Normalized data occurs when attributes in the table depend only on the primary key.

14. Normalization Produces Order

15. Data Warehouse Framework & Views

16. Knowledge Management Tacit Knowledge (below the waterline) Explicit Knowledge (above the waterline) © Ina Penning/Age Fotostock America, Inc.