This Presentation is about Data mining and its application in different fields. This presentation shows why data mining is important and how it can impact businesses.

1. Costarch Analytical
Consulting Pvt Ltd.

2. Data Mining
 Why data mining
 What is data mining
 Scope of data mining
 Typical applications
 Issues with data mining

3. What it is?

4. Data Mining Contd…..
 A data mining research carried out at supermarkets showed that,
 Men who had children and who do shopping on Saturday to buy nappies for
their little ones tend to buy Beer also….
 Interesting right?.....
 Lets see some more examples……

5. Data Mining Contd..
 helps in churn prevention.

6. Data mining Contd..
o Data mining in CRM
o Based on the behavior and personal
data about the customer, CRM
admisnitrter will divide the customer in
two classes.
o A Prediction model can be created using
this data to find the probability of losing
a customer in next two years.

7. Data Mining Contd..
 IN CRM , it is a well known fact that acquiring a new customer cost 7 times
more than keeping the existing customer (churn prevention)
 Thus CRM can help to reduce the churn rate

8. Why Data Mining is important ?
Data

9. Why Data Mining is important?

10. Why Data Mining
 Terabytes of data generated every day
 Abundance of data available from sources like business, society and science
 Easy techniques of data collection ex: automated data collection tools,
database systems, computerized society etc
 Need for analysis of massive data

11. What is Data Mining
It is a process of discovering
 suitable
 New
 Potentially useful insights
 Under stable patterns and trends in the large data sets
 Using sophisticated mathematical algorithms
 To segment the data
 Evaluate the probability for future events

12. Stages of Data mining
Selection
•Segmenting the data according to criteria
•Example who have a car, people who are in govt jobs
Preprocessing
•Data cleansing stage, unnecessary information is removed
Transformation
. Data is transformed. Data is made usable and navigable
Data mining
. Stage of extracting of patterns from data
Interpretation and evaluation
•Patterns interpreted into knowledge that can be used to support human decision making,

13. Reasons for Data Mining popularity
 Growing Data Volume
 Limitations of Human Analysis
 Low Cost of Machine Learning

14. Data Mining Models
 Verification Model
 Discovery Model

15. Data Mining Process Model
Understanding
business
requirements
Deployment
Data collection
Data
Data prep and
analysis
Evaluation
Data modeling

16. Scope of Data Mining
 Data Mining technology can generate new business opportunities
 Automated prediction of trends and behaviors
 Automated discovery of previously unknown patterns
 Yield the benefits of automation on existing software and hardware platforms
 Implemented on new systems as existing platforms are upgraded and new
products developed

17. Data Mining Limitations
 Data mining systems relies on databases to supply the raw data for output.
 Problem occurs as data bases tend to be dynamic, incomplete, noisy and large
 Uncertainty
 Size and updating problem
 Limited information

18. Techniques used in Data Mining
 Artificial Neural Networks
 Decisions Trees
 Genetic Algorithm
 Nearest Neighbor Method
 Rule Induction

19. Artificial Neural Networks
o System of interconnected neurons
that can compute values from
inputs by feeding information
through the network.

20. Decision Tree
 Uses tree like model of decisions
and their possible consequences

21. Genetic Algorithm
o Generate useful solutions to
optimization and search
problems.

22. Nearest Neighbor Method
 Classifying cases based on
their similarity to other
cases

23. Rule induction
 The extraction of useful if-then rules from data based on
statistical significance.

24. Data Mining Application
Data mining techniques can be applied in various fields such as

Telecommunication

CRM

Banking

Medicine and Pharmaceuticals

Insurance

Management (Quality Assurance, Marketing)
 Travel and Tourism..

25. Contd..
 Media logistic

Academic Research

IT & ITES

Online Portals and Social Media Channels

Media and Advertising

Airline Companies

Sports

Finance
 Film Industry and many more etc.

26. Contact Us
If you have any questions , please let us know at
info@costarch.com or Call us +91-8955678210
OR
Visit our website: www.costarch.com
www.pietutors.com