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WEB Analytics - Data Mining - MIS - eBusiness website

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Measure your site's performance - Analytics, Insights, Statistics - WEB mining - learn about website visitors in the internet - slides shows example of Analytic reports, also called Insights or Stats, …

Measure your site's performance - Analytics, Insights, Statistics - WEB mining - learn about website visitors in the internet - slides shows example of Analytic reports, also called Insights or Stats, YouTube insights, Blogger Blog Stats, facebook, LinkedIn - presentation by Prof Jyoti Zaveri

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  • 1. Data Mining of the web site Analytics / Insights / Statistics WEB MINING BY JYOTINDRA ZAVERI ‘Cyber Coolie’j.zaveri@dnserp.com Web Mining - Social media Business 1 intelligence
  • 2. What is ‘Web Mining’ ? Web mining is a specialized application of data mining. Web mining is a technique to process information available on Web and find useful data. Web mining enables you to discover Web pages, text documents, multimedia files, images and other types of resources from the World Wide Web.j.zaveri@dnserp.com Web Mining - Social media Business intelligence 2
  • 3. Let us analyze to improve Web mining can be broadly defined as the discovery and analysis of useful information from the World Wide Web. This describes the automatic search of information resources available on-line, i.e. Web content mining, and the discovery of user access patterns from Web servers, i.e., Web usage mining.j.zaveri@dnserp.com Web Mining - Social media Business intelligence 3
  • 4. Analytic reports gives real-timeinformation of social media websites The following slides shows example of Analytic reports, also called Insights or Stats. – YouTube insights – Blog Stats • Blogger • WordPress – Facebook – LinkedInj.zaveri@dnserp.com Web Mining - Social media Business intelligence 4
  • 5. Blogger Stats: Posts wise data BLOG Analytics - 6222 Page vies – all time historyj.zaveri@dnserp.com Web Mining - Social media Business intelligence 5
  • 6. Traffic source & audience data BLOG Analytics - 801 view for this post which was published on July 21, 2011j.zaveri@dnserp.com Web Mining - Social media Business intelligence 6
  • 7. Blogger: Daily visitors reportj.zaveri@dnserp.com Web Mining - Social media Business intelligence 7
  • 8. Blogger: Page-views by Countriesj.zaveri@dnserp.com Web Mining - Social media Business intelligence 8
  • 9. To find how user is interacting with the website Web Mining Goals – To decrease the average number of pages visited by customer before a purchase transaction – Increase the average number of pages viewed per user session – Increase visitor retention rates – Personalize web pages for customersj.zaveri@dnserp.com Web Mining - Social media Business intelligence 9
  • 10. Facebook gives extensive Insightsj.zaveri@dnserp.com Web Mining - Social media Business intelligence 10
  • 11. The ideas is to measure the engagementof your Facebook Fan Pagej.zaveri@dnserp.com Web Mining - Social media Business intelligence 11
  • 12. FACEBOOK REACH OUT TO 800 MILLION USERSTATA DOCOMO IS THE LEADING FB PAGE WITH 42 LACS FANSj.zaveri@dnserp.com Web Mining - Social media Business intelligence 12
  • 13. Web log. "What pages are people viewing on your site and where are they coming from?" Web log is record (log book) kept by a website server computer, that contains visitor information such as which pages are visited or which browser was used to access the website, and so on.j.zaveri@dnserp.com Web Mining - Social media Business intelligence 13
  • 14. LinkedIn Analytics - Find out top locationsin your professional network 5% Greater New York City Areaj.zaveri@dnserp.com Web Mining - Social media Business intelligence 14
  • 15. Where is web mining used? E-Business E-Commerce Fraud detection Researchj.zaveri@dnserp.com Web Mining - Social media Business intelligence 15
  • 16. The second largest search engine– YouTube Insightj.zaveri@dnserp.com Web Mining - Social media Business intelligence 16
  • 17. Web site Analysis See and analyze your traffic data For example, with Google Analytics Purpose: – To write better-targeted ads – Strengthen your marketing initiatives – Create higher converting websites.j.zaveri@dnserp.com Web Mining - Social media Business intelligence 17
  • 18. Why web mining? With the explosive growth of information sources available on the World Wide Web, it has become increasingly necessary for users to utilize automated tools in find the desired information resources, and to track and analyze their usage patterns.j.zaveri@dnserp.com Web Mining - Social media Business intelligence 18
  • 19. What is Pattern Extraction? The ‘Pattern Extraction’ is a process for monitoring web pages, extracting information from them and generating matches of a specific pattern, with necessary information specified by a user. The pattern extraction method enables to surf and access data available in the Internet more efficiently.j.zaveri@dnserp.com Web Mining - Social media Business intelligence 19
  • 20. Web log mining. The technique for retrieving visitor (or customer) based information from server based log files and applying this information for analyzing is known as Web log miming. There are two major types of log files used in Web log mining: 1. Access log and agent log files. An access log file keeps a list of all the HTML pages, that the visitors have visited or downloaded. 2. An agent log file consists of a record of the browser that was used to explore Web pages.j.zaveri@dnserp.com Web Mining - Social media Business intelligence 20
  • 21. FACEBOOK INSIGHTS How people are talking about your Pagej.zaveri@dnserp.com Web Mining - Social media Business intelligence 21
  • 22. Conclusion Web 2.0 technology based sites gives extensive analytic report (also called insights) that helps in targeting your audience and fine tune the contents. This will help in measuring performance of the online assets.j.zaveri@dnserp.com Web Mining - Social media Business intelligence 22
  • 23. Join Prof. Zaveri on Facebook and Google+ j.zaveri@dnserp.com eMail j.zaveri@dnserp.com eLearning site http://www.dnserp.com Follow on Twitter @followERP Connect on LinkedIn http://in.linkedin.com/in/jyotindrazaveri Connect on Facebook http://www.facebook.com/jyotindra Subscribe YouTube http://www.youtube.com/dnserp j.zaveri@dnserp.com Web Mining - Social media Business intelligence Slide # 23
  • 24. Thank You Question / Answer session Please clarify your doubts Presentation by Prof. Jyoti Zaveri – ‘Cyber Coolie’ j.zaveri@dnserp.comWeb Mining - Social media Business intelligence 24