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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?

Supriyo Roy, Kaushik Kumar
Copyright: © 2019 |Pages: 13
ISBN13: 9781522575016|ISBN10: 1522575014|EISBN13: 9781522575023
DOI: 10.4018/978-1-5225-7501-6.ch107
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MLA

Roy, Supriyo, and Kaushik Kumar. "Strategic Best-in-Class Performance for Voice to Customer: Is Big Data in Logistics a Perfect Match?." Web Services: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 2086-2098. https://doi.org/10.4018/978-1-5225-7501-6.ch107

APA

Roy, S. & Kumar, K. (2019). Strategic Best-in-Class Performance for Voice to Customer: Is Big Data in Logistics a Perfect Match?. In I. Management Association (Ed.), Web Services: Concepts, Methodologies, Tools, and Applications (pp. 2086-2098). IGI Global. https://doi.org/10.4018/978-1-5225-7501-6.ch107

Chicago

Roy, Supriyo, and Kaushik Kumar. "Strategic Best-in-Class Performance for Voice to Customer: Is Big Data in Logistics a Perfect Match?." In Web Services: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 2086-2098. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7501-6.ch107

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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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