Data Mining. Bussiness intelligence

1. Data Mining

DATA MINING
PRESENTED BY: M.BAUYRZHAN
T.RAIYMBEK

2. Bussiness intelligence

BUSSINESS INTELLIGENCE
• Business Intelligence (BI) refers to applications and technologies which are
used to gather, provide access to, and analyze data and information about
their company operations.
• Data Mining is an important part of Business Intelligence

3. Data Mining: Confluence of Multiple Disciplines

DATA MINING: CONFLUENCE OF MULTIPLE
DISCIPLINES
• 1) Database Technology
Steps of Data Mining
• 2) Machine Learning
Data integration
• 3) Information Science
Data selection
• 4) Statistics
Data cleaning
• 5) Visualization
Data transormation
• 6) Other disciplines
Pattern evaluation
Knowledge presentation

4. Application of Data Mining

APPLICATION OF DATA MINING
• Industry
Application
• Finance
Credit Card Analysis
• Insurance
Claims, Fraud Analysis
• Telecommunication
Call record analysis
• Transport
Logistics management
• Consumer goods
Promotion Analysis
• Scientific Research
Image, Video, Speech
• Utilities
Power usage analysis

5. Data Warehousing

DATA WAREHOUSING
• A data warehouse is a subjectoriented, integrated, time-variant and
non-volatile collection of data in
support of management’s decision
making process.
• The most common form of data
integration.
Copy sources into a single
database and try to keep it up-todate.
Usual method: periodic
reconstruction of the warehouse,
perhaps
overnight.
Frequently essential for analytic
queries.

6. Thanks to all!

THANKS TO ALL!
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