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
Business
Intelligence
Expert
Systems
Reporting
Knowledge
Management
Data Mining
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.
Q1: How Big is an Exatype?
Q3: What Problems do Operational Data
Pose?
software that searches vast amounts of data
to derive information for improved decision
making
Reporting
Data Mining
Knowledge Management
Expert Systems
software that reads data
processes data by:
◦
◦
◦
◦
filtering
sorting
grouping
simple calculations
produces formatted summaries of data
On-Line Analytical Processing
◦ Drill-Down
◦ Consolidation
◦ Slicing and Dicing
Report A
Report B
Large Database
Subject-Oriented
Integrated
Time-Variant
Nonvolatile
User-Friendly Interface
Reporting
Operational
DB
External
DB
Data
Warehouse
Data
Mining
KM
Other
DB
Expert
Mini data warehouses
Hold subsets of data from the data
warehouse
Data focuses on a specific aspect of the
company
software that searches through data
uses complex statistical calculations
outputs
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◦
◦
◦
Trends
Patterns
Correlations
Exceptions
Nestle processes Social Media
http://uk.reuters.com/article/video/idUKBRE89P07Q
20121026?videoId=238680321
Process
Creating Value from
Intellectual Property
Sharing Knowledge
with Others
http://answers.vt.edu/kb/entry/3354/
Knowledge captured as rules.
www.lpa.co.uk/wfs_dem6.htm
Poor data quality
Context
User resistance