1. Chapter 12 Sections Q1-Q4: Business Intelligence Chapter 13 Sections Q2-Q4: Knowledge Mgmt Chapter 14 All Sections: Database Marketing Chapter 15 Sections Q1 & Q4: OLAP

2. Reporting Business Intelligence Data Mining Knowledge Management Expert Systems

3.  Define business intelligence systems.  Know the characteristics of reporting systems.  Know the purpose and role of data warehouses and data marts.  Understand fundamental data-mining techniques.  Know the purpose, features, and functions of knowledge management systems.

4.  Q1: How Big is an Exatype?  Q3: What Problems do Operational Data Pose?

5.  software that searches vast amounts of data to derive information for improved decision making

6.  Reporting  Data Mining  Knowledge Management  Expert Systems

7.  software that reads data  processes data by: ◦ filtering ◦ sorting ◦ grouping ◦ simple calculations  produces formatted summaries of data

8.  On-Line Analytical Processing ◦ Drill-Down ◦ Consolidation ◦ Slicing and Dicing

11. Report A Report B

12.  Large Database  Subject-Oriented  Integrated  Time-Variant  Nonvolatile  User-Friendly Interface

13. Oper- ational DB Other DB External DB Data Ware- house Reporting Data Mining KM Expert

14.  Mini data warehouses  Hold subsets of data from the data warehouse  Data focuses on a specific aspect of the company

15.  software that searches through data  uses complex statistical calculations  outputs ◦ Trends ◦ Patterns ◦ Correlations ◦ Exceptions

16.  Nestle processes Social Media http://uk.reuters.com/article/video/idUKBRE89P07Q 20121026?videoId=238680321

17.  Process  Creating Value from Intellectual Property  Sharing Knowledge with Others http://answers.vt.edu/kb/entry/3354/

18.  Knowledge captured as rules. www.lpa.co.uk/wfs_dem6.htm

19.  Poor data quality  Context  User resistance