1. Data warehousing AND Data mining PRESENTED by N.GANESH (10QF1A0447)

2. INTRODUCTION :
The advent of computing technology has significantly influenced our lives and two major impacts of this effect are business data processing and scientific computing.
During the initial years of the development of computer techniques for business, computer professionals were concerned with designing files to store the data so that information could be efficiently retrieved.
There were restrictions on storage size for storing data and on the speed of accessing the data.

3. Evolution of Information Technology Tools :
The evolution of the information systems characterize the evolution of systems from data maintenance systems, to systems that transform the data into "information" for use in the decision making process. These systems supported the
Processing
Processing
Data
Information
Knowledge
Transactions processing systems
Management InformationSystems
Data Mining Tools &
On-Line Analytical
Processing Tools

5. BENEFITS OF DATAWARE HOUSING :
Increasing the speed and flexibility of analysis.
Providing a foundation for enterprise-wide integration and access.
Improving or re-inventing business processes.
Gaining a clear understanding of customer behavior.

6. CONCEPTUALLY A DATA WARE HOUSE :

7. Information Sources :
Always include the core operational systems which form the backbone of day-to-day activities.
Decision Support Tools :
Used to analyze the information stored in the warehouse, typically to identify trends and new business opportunities.
The Data Warehouse :
Itself is the bridge between the operational systems and the decision support tools.

8. DEFINITION OF DATA MINING
Data mining have been more appropriately named as “knowledge mining”.
Knowledge mining from database, knowledge extraction ,data/pattern analysis data archeology, and data dredging
Knowledge discovery as a process is depicted and consists of an interactive sequence of the following

9. Data Mining and Data Warehousing :
The goal of a data warehouse is to support decision making with data.
Data mining can be used in conjunction with a data warehouse to help with certain types of decisions.
Data mining can be applied to operational databases with individual transactions.
Data Mining and Data Warehousing :

10. Integrated Data Mining Architecture

11. Benefits of data mining :
The fundamental benefit of data mining is then 2 folds.Let’s look at a number of tangible benefits the data mining process can bring to companies.
Return on investments:
A significant segment of the companies looking at, data warehouse technology spend millions of dollars on new business initiatives.
2. Scalability of electronic solution:
The major player in the data-mining arena provides solutions that are robust and scalable

12. Applications:
Using a small test mailing, the attributes of customers with an affinity for the product can be identified.
A large consumer package goods company can apply data mining to improve its sales process to retailers.

13. CONCLUSION:
We conclude that all of these problems are areas of current research, but they are not yet fully solved.
Data mining offers an important approach to achieving values from the data ware house for use in decision support.

14. Query...?

15. Thank you