Using Big Data for business perspectives

Jaiteg Singh

ISBN 10: 3659620505 / ISBN 13: 9783659620508

Published by LAP LAMBERT Academic Publishing Okt 2014, 2014

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -Master data is critical for any business organization. Big organizations like Oracle, Infosys, IBM, Google, Facebook and TCS started working on Master Data Management (MDM) in early 20's. Multinational corporations spend millions of dollars for Managing their Master Data, so as to ensure quality of service and customer retention as well. Unlike big organizations, Small and Mid-sized Enterprises (SME's), because of their limited resources, are unable to exploit the economies of scale associated with master data management. In this paper a Synthetic Semantic Master Data Modeler (SSMDM) has been proposed, this modeler primarily uses the concept of Google's knowledge graph to identify semantics within data sets. Using SSMDM, synthetic yet realistic master data was generated to find out probable ontologies within synthetic data sets. Based on these ontologies, some rules were framed to produce synthetic facts. These synthetic facts were further used to decide services and cuisines to be offered at a newly opened eating joint. 108 pp. Englisch.

Seller Inventory # 9783659620508

Bibliographic Details

• Title: Using Big Data for business perspectives
• Publisher: LAP LAMBERT Academic Publishing Okt 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3659620505
• ISBN 13: 9783659620508
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

Master data is critical for any business organization. Big organizations like Oracle, Infosys, IBM, Google, Facebook and TCS started working on Master Data Management (MDM) in early 20’s. Multinational corporations spend millions of dollars for Managing their Master Data, so as to ensure quality of service and customer retention as well. Unlike big organizations, Small and Mid-sized Enterprises (SME's), because of their limited resources, are unable to exploit the economies of scale associated with master data management. In this paper a Synthetic Semantic Master Data Modeler (SSMDM) has been proposed, this modeler primarily uses the concept of Google’s knowledge graph to identify semantics within data sets. Using SSMDM, synthetic yet realistic master data was generated to find out probable ontologies within synthetic data sets. Based on these ontologies, some rules were framed to produce synthetic facts. These synthetic facts were further used to decide services and cuisines to be offered at a newly opened eating joint.

About the Author

Dr. Jaiteg Singh did his PhD in Engineering and Technology in the year 2010. He has published thirty five research papers in various national and international journals of repute, including four books. Saravjeet Singh is B-tech from Haryana Engineering College(KUK University, Haryana) with 78% in 2011, ME from Chitkara university with 8.94 CGPA