Embed Size (px)
Citation preview
Business IntelligenceChapter 12 Sections Q1-Q4: Business Intelligence
Chapter 13 Sections Q2-Q4: Knowledge MgmtChapter 14 All Sections: Database Marketing
Chapter 15 Sections Q1 & Q4: OLAP
Business Intelligence
Reporting
Business Intelligence
Data Mining
Knowledge Managemen
t
Expert Systems
Objectives 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.
Text Only Topics Q1: How Big is an Exatype?
Q3: What Problems do Operational Data Pose?
Business Intelligence (BI) software that searches vast amounts of
data to derive information for improved decision making
BI Categories Reporting
Data Mining
Knowledge Management
Expert Systems
Reporting Tools software that reads data
processes data by:◦ filtering◦ sorting◦ grouping◦ simple calculations
produces formatted summaries of data
OLAP On-Line Analytical Processing
◦ Drill-Down
◦ Consolidation
◦ Slicing and Dicing
Drill Down
Slice and Dice
OLAP Example
Report A
Report B
Data Warehouse Large Database
Subject-Oriented
Integrated
Time-Variant
Nonvolatile
User-Friendly Interface
Data Warehouse System
Oper-ational DB
OtherDB
ExternalDB
DataWare-house
Reporting
Data Mining
KM
Expert
Data Marts Mini data warehouses
Hold subsets of data from the data warehouse
Data focuses on a specific aspect of the company
Data Mining Tools software that searches through data
uses complex statistical calculations
outputs◦ Trends◦ Patterns◦ Correlations◦ Exceptions
Nestle processes Social Media
http://uk.reuters.com/article/video/idUKBRE89P07Q20121026?videoId=238680321
Big Data
Knowledge Management Process
Creating Value from Intellectual Property
Sharing Knowledge with Others
http://answers.vt.edu/kb/entry/3354/
Expert Systems
Knowledge captured as rules.
www.lpa.co.uk/wfs_dem6.htm
BI Challenges Poor data quality
Context
User resistance
