meaning of data warehousing needs of data warehousing applications of data warehousing architecture of data warehousing advantages of data warehousing disadvantages of data warehousing. meaning of data mining needs of data mining applications of data mining architecture of data mining advantages of data mining disadvantages of data mining

1. PRESENTATION ON
DATA WAREHOUSING
AND
DATA MINING
PRESENTED BY
SNEHALI CHAKE
PRIYANKA BONDRE
CHAHAT MADAN
KAUMUDI KAORE

2. DATA

3. DATA WAREHOUSING
A data warehousing is
subject oriented,
integrated, non -
volatile, time varying
collection of data in
support of its decision-
making process.

4. NEED OF DATA WAREHOUSING
Business user
Store historic data
Selective data
Make strategic decisions

5. ARCHITECTURE OF DATA WAREHOUSING

6. DATA WAREHOUSING
 Competitive advantage
 More cost effective
decision making.
 Better enterprise
intelligence
 Enhanced customer
service
 Time consuming
 Change resistance
 Complex
 Security issue
ADVANTAGES DISADVANTAGES

7. APPLICATIONS OF DATA WAREHOUSING
Standard reports and queries
Queries against summarized
data
Data mining
Interface with other data
warehouses

8. DATA MINING
Data mining refers
to extracting
knowledge from
large amount of
data, usually
automatically
gathered.

9. NEED OF DATA MINING
Operational
Decisional
Informational
Specific application

10. USER
ARCHITECTURE OF DATA MINING
USER INTERFACE
PATTERN EVALUATION
DATA MINING ENGINE
DATABASE OR DATA WAREHOUSE
SERVER
DATA CLEANSING,DATA SELECTION,DATA INTEGRATION
DATABASE
DATA
WAREHOUSE
WORLD WIDE WEB
OTHER
REPOSITORY
KNOWLEDGE
BASE

11. DATA MINING
 Automated forecasting
of trends and behavior.
 Automated
determination of earlier
unknown trends.
 Extensive depth and
breadth of data base.
 Privacy
 Misuse of information
 Inaccurate information
 Security.
ADVANTAGES DISADVANTAGES

12. APPLICATIONS
Marketing
Finance/Banking
Government
Medicine
Insurance and health care