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Data mining tools used in business intelligence

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A brief survey on various data mining tools used in business intelligence

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Data mining tools used in business intelligence

  1. 1. PRESENTATION ON RECENT ADVANCES IN COMPUTING AND COMMUNICATION -A BRIEF SURVEY ON DATA MINING TOOLS USED IN BUSINESS INTELLIGENCE 1
  2. 2. OVERVIEW OF THE PRESENTATION • TITLE • SCOPE • BASE PAPER • REVIEW OF LITERATURE • BUSINESS INTELLIGENCE-AN INTRODUCTION • DATA MINING-MEANING • DATA MINING FUNCTIONALITY TASKS • DATA MINING TOOLS FOR BI • CONCLUSION 2
  3. 3. A BRIEF SURVEY ON DATA MINING TOOLS USED IN BUSINESS INTELLIGENCE R.Nithya B.Gomathi II M.com Accounting & Finance Assistant Professor- Dept of Computer Science Shri.SSS Jain College For Women Shri.SSS Jain College For Women Chennai-17. Chennai-17. 3
  4. 4. SCOPE • The need of the hour for any business is to analyze or forecast the business trends. • Trends keep changing and this is inevitable. • The focus of this paper is to show how data mining tools can help in Business intelligence. 4
  5. 5. BASE PAPER 5 Snezana.S “Business intelligence tools for statistical data analysis” proceedings of the conference on Information Technology Interfaces (ITI), 2010
  6. 6. REVIEW OF LITERATURE Kiss.G ,2010 “Using data mining tools in analyzing undergraduate paper results in Computer Science at Obuda University” International Journal on Intelligent Computing and Integrated System, pages 954-956 S.Hameetha Begum, Feb 2013 “Data Mining Tools and Trends – An Overview”, International Journal of Emerging Research in Management &Technology” ISSN: 2278-93596
  7. 7. Divya Chaudhary, August 2013 “International Journal of Advanced Research in Computer Science and Software Engineering” ISSN: 2277 128X, Volume 3, Issue 8  Anand V. Saurkar, April 2014 “International Journal of Advanced Research in Computer Science and Software Engineering” ISSN: 2277 128X, Volume 4, Issue 4
  8. 8. BUSINESS INTELLIGENCE • Business Intelligence is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. • The goal of BI is to allow easy interpretation of large volumes of data. 8
  9. 9. DATA MINING • Data mining is the process of discovering patterns from huge data sets. • Data mining helps to discover uncovered patterns • Data mining functionality 9  Predictive  Descriptive
  10. 10. DATA MINING TOOLS FOR BI • Two open source • SPSS • SSAS • ODM 11  Weka Rapid Miner
  11. 11.  WEKA: An approach to evaluate how business is becoming impacted by particular qualities and assist company entrepreneurs improve their earnings. RAPID MINER: It provides GUI for interactive prototyping, Command Line mode for automated large scale application. SPSS: It ensures timely, reliable results by supporting the Cross Industry Standard Process for Data Mining. SSAS: It provides an integrated platform for solutions that incorporate Data Mining. ODM: It enables to produce actionable predictive information and build integrated business intelligence applications.
  12. 12. CONCLUSION 14 Current trend now-a-days is to implement Business Intelligence world wide. Business Intelligence software revenue is expected to reach $17.1 billion by 2016. Business Intelligence helps retailers to take action on data and to apply skill and experience to transform data into knowledge.
  13. 13. THANK YOU 15

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