1. Understanding Customer Behaviors with Information Technologies

2. Understanding Customer Behaviors
Steve Jobs Demo on IPOd

3. Understanding The Customer
One of the key aspects to learning all about customers is collecting as much information about a customer as possible. Things such as names, addresses, contact numbers, age, sex, number of children etc all help a business to ‘classify’ and come to know their customers better.

4. Benefits of Understanding Customer Behaviors
One major benefit of a Understanding Customer Behaviors is to produce analysis about the types of customers best suited to their business.  Armed with this information, businesses can then market to them in a more personal way, utilizing the information previously gained.

5. Understanding The Customers' Wants And Needs
In addition to the information collected about the customers’ contact details, family and personal details, a good ‘Understanding Customer Behaviors’ system also collects information about their customers' buying habits. 

6. Analysis of Customer Information
The invaluable information about customers' buying habits can then be analyzed and used to help the business identify what their customers really want or would be most likely to buy.

7. Customer Touch Points
Customer Touch Points are vital since your business has a marketing orientation and focuses upon the customer and his or her current and future needs. This is the interface between your organisation and its customers. For example you buy a new car from a dealership, and you enter a showroom. The dealership is a contact point..

8. You meet with a salesperson whom demonstrates the car
You meet with a salesperson whom demonstrates the car. The salesperson is a contact point. You go home and look at the car manufacturer's website, and then send the company an . Both are contact points. Other contact points include 3G telephone, video conferencing, Interactive TV, telephone, and letters

9. Data Mining
Data Mining is where an organisation evaluates large Data Stores for patterns, or relationships between groups or individuals (or segments). Applications present 'patterns' in a format that can be used for marketing decision-making.

10. Data Mining and It’s Potential Applications
Database analysis and decision support
Market analysis and management
target marketing, customer relation management, market basket analysis, cross selling, market segmentation
Risk analysis and management
Forecasting, customer retention, improved underwriting, quality control, competitive analysis
Fraud detection and management

11. Other Applications
Text mining (news group, , documents) and Web analysis.
Intelligent query answering

12. Areas in Data Mining KDD (Knowledge Discovery in Database)
The processes of producing knowledge
Data mining is a processes in KDDMachine Learning
Pattern Recognition
Finding patterns from large data
Has a great relationship with image classification
Statistics

13. Collecting Customer Data & Analysis of IT

14. Data collection: Contact Points
Touch Points
Physical stores
Telephone
Mail
Internet

15. Points of Sale Data POS (Point of Sale) data - bar codes of products
- customers information from their
credit cards, identification cards or
discount cards
EDI (Electronic Data Interchange)
- mostly B2B
- orders and delivery of orders

16. Transaction Data

17. Use of transaction data

18. On-line interaction data

19. Architecture for Analysis of Customer Data

20. Technologies for Analytical CRM

21. Data mining

22. Customer Analytics