Big data tools and techniques in the UK retail sector
| dc.contributor.author | Ramanathan, Ramakrishnan | en |
| dc.contributor.author | Philpott, Elly | en |
| dc.contributor.author | Duan, Yanqing | en |
| dc.contributor.author | Cao, Guangming | en |
| dc.date.accessioned | 2015-08-04T09:32:58Z | en |
| dc.date.available | 2015-08-04T09:32:58Z | en |
| dc.date.issued | 2014 | en |
| dc.identifier.citation | Ramanathan, R. Philpott, E. Duan, Y. and Cao, G. (2014) “Big Data Tools and Techniques in the UK Retail Sector”, stream Business Analytics Optimization and Big Data, at the IFORS Triennial 2014 Conference, July 13-18, 2014, Barcelona, Spain | en |
| dc.identifier.uri | http://hdl.handle.net/10547/565038 | en |
| dc.description.abstract | This study is based on interviews with 12 leading Big Data users/consultants in the UK retail sector. These companies included those operating pure off-line, both online and offline, pure online retailers and also Big Data consultants. We used Technology-Organisation-Environment framework to structure the interviews. A number of Big Data tools and techniques have been mentioned by our interviewees. They included, among others, tools such as Excel including special macros and add-ins, SQL, SAP, SAS and SIMALTO. We provide a more detailed analysis of these tools and techniques in this paper. | |
| dc.language.iso | en | en |
| dc.relation.url | https://www.euro-online.org/conf/ifors2014/treat_abstract?paperid=13480 | en |
| dc.subject | big data | en |
| dc.title | Big data tools and techniques in the UK retail sector | en |
| dc.type | Conference papers, meetings and proceedings | en |
| dc.contributor.department | University of Bedfordshire | en |
| html.description.abstract | This study is based on interviews with 12 leading Big Data users/consultants in the UK retail sector. These companies included those operating pure off-line, both online and offline, pure online retailers and also Big Data consultants. We used Technology-Organisation-Environment framework to structure the interviews. A number of Big Data tools and techniques have been mentioned by our interviewees. They included, among others, tools such as Excel including special macros and add-ins, SQL, SAP, SAS and SIMALTO. We provide a more detailed analysis of these tools and techniques in this paper. |