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Data Mining in Business
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- 3. • Introduction • Motivation •Problem Statement • Solution • Data Mining Concept – Application Areas • In Afghanistan – Data Mining Process – Services & Tools 312/4/2011
- 4. • Expenses andneeded to apply the solution in a business • Suggestion • Future Trends • Conclusion • References 412/4/2011
- 5. • Increasing theuse of computer technologies in the past decades – Rapidly increasing and making large databases • Two questions: – Is this collected data useful? – Could a business use the collected data in a beneficial way? • No time to look at the stored data – Ways are needed to analyze, classify and summarize it automatically 512/4/2011
- 6. • New toolsand techniques are needed: The best Tools is Data Mining • Data Mining exciting area of database research community – Analyzing a collection of data and extracting useful information among this data, providing beneficial information • Data Mining in Afghanistan – It is not being used so much or it is not known – Some companies are using in their daily processes 612/4/2011
- 7. • Travel toKabul and see the bad situation of the business of Afghanistan • My teachers’ suggestion (Mr. Tokhi & Miss. Jamal (Kabul University Teacher)) • My interest in learning more about Data Mining • Help the business of Afghanistan to improve like the businesses of other countries – Finding ways and tools which could be used in different businesses in Afghanistan and suggest them 712/4/2011
- 8. 8 • Data storageis increasing • Large amounts of papers are produced • Lose percentage of data is high • No beneficial use of stored data • Problems in inventory tracking • High risks in import or export data • Problems in daily transactions 12/4/2011
- 9. 9 • The bestsolution for a business would be: – Having computerized databases – Use a tool to analyze the stored data to help the businesses to make better decisions to improve their businesses. • Data mining could be the best technology! 12/4/2011
- 10. 10 • Analysis of(often large) observational data sets • Find unsuspected relationships • Summarizing the data in novel ways that are both understandable and useful to the data owner • Knowledge provided by data mining could be used for different purposes 12/4/2011
- 11. 11 • Business Intelligence –A big super market could use the historical data about its customers to provide a better relationship with the customer – Providing products according to the favors of the customers and make benefits • Artificial Intelligence 12/4/2011
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- 13. 13 • OLAP (OnlineAnalytical Processing) 12/4/2011
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- 15. 15 • Study yourstored data 12/4/2011
- 16. 16 • Provide newoffers 12/4/2011
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- 18. 18 • Market Segmentation –Finding common behaviors among customers • Customer Churn – Estimate the number of customers who stopped purchasing its products or services • Fraud Detection – Which purchases are the most likely to be fraudulent • Interactive Marketing – Customers who are purchasing your products online 12/4/2011
- 19. 19 • Market BasketAnalysis – What products or services are being purchased together • Trend Analysis – Exposing the difference in purchases of a customer between current and previous month. • Automatic recognition of patterns – Find important relationships that could allow you to make strategic decisions 12/4/2011
- 20. 20 • Data MiningTools: – Traditional Tools (Like Excel) – Dashboards – Text Mining Tools 12/4/2011
- 21. 21 • According tothe researches which were done it may cost between 5000 – 1000 $ for smaller businesses(or more for other businesses) in Afghanistan. • According to the interview which I had with different companies they could pay between 3000– 6000 $ for this solution 12/4/2011
- 22. 22 • All thecompanies in Afghanistan should use an applicable computerized database • Each database should have the same characteristics in a field of business • Data of all businesses should be deleted and new computerized data should be used • Developing a unique database for the businesses of Afghanistan 12/4/2011
- 23. 23 • Developing aData Mining software which could be applicable for the business and business situation in Afghanistan. • I have started to work on it and anyone who is interested could attend in this process 12/4/2011
- 24. 24 1. Business intelligencesecrets for unfair competitive advantage (By Bozidar Kralj and Kresimir Futivic) 2. Data Mining applications for empowering knowledge societies (By: Halikur Rahman) 3. Data Mining concepts and techniques (By: Jiawei Han and Micheline Kamber) 4. Introduction to Data Mining and its applications (By: S.Sumathi, S.N.Sivanandam) 5. Principles of Data Mining (By: Max Bramer) 6. Principles of Data Mining, MIT Press, 2011 (By: David Hand, Hekki Mannila & Padhraic Smyth) 7. Data Mining practical machine learning tools and techniques (By: Lan H. Witten, Eibe Frank, Mark AHall 8. Data Mining techniques in grid computing environments (Editor: Werner Dubitzky, John Wiely) 12/4/2011
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