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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Actionable Business Intelligence For E-commerce using Data Mining tool
Authors
  Nelson Anand.M,  Karthick.S

Abstract
A traditional Enterprise BI solution has the capability to extract internal organizational data and transform it into useful information. Ignores the importance of data available in social media. In recent times, social networks have become virtual business goldmines. Those organizations best able to differentiate themselves have an ability to incorporate social media analytics into their customer processes, to monetize their investments and integrate insight into their customer data. That would build relationship to new customers and stronger connections with existing ones. It is characterize the e-commerce framework of fetching data from social networks by using (Qlik view) tool. It is proposed that the implementation of principal elements of an e-commerce. It is becoming a realization that BI can render better decision-making when corporate data is analyzed in integration with social media & real time data.

Keywords- Social media data, goldmines, monetize, e-commerce, BI, corporate data
Publication Details
Unique Identification Number - IJEDRCP1403005
Page Number(s) - 20-22
Pubished in - Volume 2 | Issue NCETSE Conference | March 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Nelson Anand.M,  Karthick.S,   "Actionable Business Intelligence For E-commerce using Data Mining tool", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue NCETSE Conference, pp.20-22, March 2014, Available at :http://www.ijedr.org/papers/IJEDRCP1403005.pdf
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