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DATA
MINING
What is Data Mining……
Data Mining is the process of
examining and Analyzing Large Pre-
existing Data in order to generate
new information. This technique
utilizes specific algorithms, statistical
analysis, artificial intelligence &
database systems.
Uses of Data Mining……
• Health Care
• CRM(Customer Relationship Management)
• Fraud Detection
• Research Analysis
• Manufacturing Engineering
• Corporate Surveillance
• Financial Banking
• Customer Segmentation
Steps of Data Mining
Interpreting
and
Reporting
Identifying
Key Values
Extracting
Relevant
Information
Picking
Data
Identifying
Source
Information
Data Mining Example…..
Use of Data Mining Techniques by SAMSUNG
• Collects Data from all Regions
• Accumulates Data
Initially Collects
Data
• Sales Data
• Price Data
• Highest & Lowest sold phones in different regions
Picks Up Data for
Analysis
• Prepares Graphs, Charts etc.
• Writes Report on basis on that analysis
Analyzes the Data
• Rechecks and interprets Data before handing over
Top Management
Interpreting &
Reporting
How Data Mining reports are used……..
Top Management of SAMSUNG Uses the Data Mining
Reports :
 To Make its upcoming mobiles according to
customer choice
 Supply Mobiles According to region of high & low
demand
 Top management uses for making important
Strategic decisions and Tactics
Advantages of Using Data Mining:
 Data can be quickly available
 Helps to Analyze Data quickly
 Helps Business in Marketing & Sales
 Helps Business to make important Financial Decisions
Disadvantages of Data Mining
• Costly
• Inaccuracy of Data
• Privacy Issues
• Security Issues
• Misuse of Information
Recommendation
• Information Accuracy should be maintained
• Stable Internet Connection
• Using Proper Data Mining software
• Improving Data Security
• Prevention of Data Hacking & Information Leakage
Conclusion
• Data Mining brings a lot of benefits
to Business, Governments,
Healthcare, Society and as well as
Individual
• However the Privacy, Security and
Misuse of Information should be
prevented
Thank
You

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Data mining presentation by Wasiful Alam Fahim

  • 2. What is Data Mining…… Data Mining is the process of examining and Analyzing Large Pre- existing Data in order to generate new information. This technique utilizes specific algorithms, statistical analysis, artificial intelligence & database systems.
  • 3.
  • 4. Uses of Data Mining…… • Health Care • CRM(Customer Relationship Management) • Fraud Detection • Research Analysis • Manufacturing Engineering • Corporate Surveillance • Financial Banking • Customer Segmentation
  • 5. Steps of Data Mining Interpreting and Reporting Identifying Key Values Extracting Relevant Information Picking Data Identifying Source Information
  • 7. Use of Data Mining Techniques by SAMSUNG • Collects Data from all Regions • Accumulates Data Initially Collects Data • Sales Data • Price Data • Highest & Lowest sold phones in different regions Picks Up Data for Analysis • Prepares Graphs, Charts etc. • Writes Report on basis on that analysis Analyzes the Data • Rechecks and interprets Data before handing over Top Management Interpreting & Reporting
  • 8. How Data Mining reports are used…….. Top Management of SAMSUNG Uses the Data Mining Reports :  To Make its upcoming mobiles according to customer choice  Supply Mobiles According to region of high & low demand  Top management uses for making important Strategic decisions and Tactics
  • 9. Advantages of Using Data Mining:  Data can be quickly available  Helps to Analyze Data quickly  Helps Business in Marketing & Sales  Helps Business to make important Financial Decisions
  • 10. Disadvantages of Data Mining • Costly • Inaccuracy of Data • Privacy Issues • Security Issues • Misuse of Information
  • 11. Recommendation • Information Accuracy should be maintained • Stable Internet Connection • Using Proper Data Mining software • Improving Data Security • Prevention of Data Hacking & Information Leakage
  • 12. Conclusion • Data Mining brings a lot of benefits to Business, Governments, Healthcare, Society and as well as Individual • However the Privacy, Security and Misuse of Information should be prevented