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Strategic Best-in-Class Performance for Voice to Customer: Is Big Data in Logistics a Perfect Match?

Strategic Best-in-Class Performance for Voice to Customer: Is Big Data in Logistics a Perfect Match?
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Author(s): Supriyo Roy (Birla Institute of Technology, India)and Kaushik Kumar (Birla Institute of Technology, India)
Copyright: 2017
Pages: 13
Source title: Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
Source Author(s)/Editor(s): Shrawan Kumar Trivedi (BML Munjal University, India), Shubhamoy Dey (Indian Institute of Management, Indore, India), Anil Kumar (BML Munjal University, India)and Tapan Kumar Panda (Jindal Global Business School, India)
DOI: 10.4018/978-1-5225-2031-3.ch017

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Abstract

For any forward-looking perspective, organizational information which is typically historical, incomplete and most of the time inaccurate, needs to be enriched with external information. However, traditional systems and approaches are slow, inflexible and cannot handle new volume and complexity of information. Big data, an evolving term, basically refers to voluminous amount of structured, semi-structured or unstructured information in the form of data with a potential to be mined for ‘best in class information'. Primarily, big data can be categorized by 3V's: volume, variety and velocity. Recent hype around big data concepts predicts that it will help companies to improve operations and makes faster and intelligent decisions. Considering the complexities in realms of supply chain, in this study, an attempt has been made to highlight the problems in storing data in any business, especially under Indian scenario where logistics arena is most unstructured and complicated. Conclusion may be significant to any strategic decision maker / manager working with distribution and logistics.

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