PRESENTATION ON RECENT ADVANCES IN COMPUTING AND

COMMUNICATION-A BRIEF SURVEY ON DATA MINING TOOLS

USED IN BUSINESS INTELLIGENCE

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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

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A BRIEF SURVEY ON DATA MINING TOOLS USED IN BUSINESS INTELLIGENCE

R.Nithya B.GomathiII M.com Accounting & Finance Assistant Professor- Dept of Computer ScienceShri.SSS Jain College For Women Shri.SSS Jain College For WomenChennai-17. Chennai-17.

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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.

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BASE PAPER

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Snezana.S “Business intelligence tools for statistical data analysis” proceedings of the conference on Information Technology Interfaces (ITI), 2010

REVIEW OF LITERATUREKiss.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: 2278-9359

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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

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.

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DATA MINING • Data mining is the process of discovering patterns

from huge data sets.

• Data mining helps to discover uncovered patterns

• Data mining functionality

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Predictive

Descriptive

DATA MINING TOOLS FOR BI

• Two open source

• SPSS

• SSAS

• ODM11

Weka

Rapid Miner

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.

CONCLUSION

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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.

THANK YOU

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