Abstract
Big Data Analytics offers vast prospects in today’s business transformation.Whilst big data have remarkably captured the attentions of both practitioners and researchers especially in the financial services and marketing sectors, there is a myriad of premises that big data analytics can play even more crucial roles in Supply ChainManagement (SCM). This paper therefore intends to explore these premises. The investigation ranges from the fundamentals of big data analytics, its taxonomy and the level of maturity of big data analytics solutions in each of them, to implementation issues and best practices. Finally, some examples of advanced analytics applications will also be presented as a way of unveiling some of the relatively unexplored territories in big data analytics research.
| Original language | English |
|---|---|
| Title of host publication | 6th International Conference on Operations and Supply Chain Management |
| Pages | 2013-2014 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 6th International Conference on Operations and Supply Chain Management - Bali, Indonesia Duration: 10 Dec 2014 → 12 Dec 2014 Conference number: 6 http://www.oscm-forum.org/wordpress/wp-content/uploads/2014/01/6th-International-Conference-on-Operations-and-Supply-Chain-Management.pdf |
Conference
| Conference | 6th International Conference on Operations and Supply Chain Management |
|---|---|
| Country/Territory | Indonesia |
| City | Bali |
| Period | 10/12/14 → 12/12/14 |
| Internet address |
Keywords
- analytics
- big data
- business transformation
- data science
- predictive
- supply chain management