dc.contributor.advisor | Coetzee, J.C. | |
dc.contributor.author | Makhele, S.L. | |
dc.date.accessioned | 2018-09-13T13:26:26Z | |
dc.date.available | 2018-09-13T13:26:26Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://cid.org/0000-0003-4798-5364 | |
dc.identifier.uri | http://hdl.handle.net/10394/31006 | |
dc.description | MBA, North-West University, Potchefstroom Campus, 2018 | en_US |
dc.description.abstract | Globally the Small and medium enterprises (SMEs) are the main drivers of the economic growth and the big data analytics has been seen as a support solution to help the SMEs to grow and become competitive. The primary goal of this study is to focus on growth, efficiency and effectiveness of SMEs using big data analytics. It also stresses how the big data analytics can add value to the SMEs by using available information to do the meaningful and well-informed business decisions (Ogbuokiri et al., 2015). Coleman et al. (2015) claim that the big data analytics is currently the buzzword in many organizations globally; it can add value in products and services development and improvements, in customer relations, in profitability and in the creation of competitive advantage using available data and information. They also claim that according to the research, many SMEs are not yet using big data analytics and they are therefore behind regarding the big data analytics benefits (Coleman et al., 2015). In this study, the challenges that SMEs face in the adoption of the big data analytics and how to overcome them will be discussed. There will also be some recommendations in order to assist SMEs in how they can manage their available resources to be able to adapt the big data analytics. | en_US |
dc.language.iso | en | en_US |
dc.publisher | North-West University | en_US |
dc.subject | SMEs | en_US |
dc.subject | Big data analytics | en_US |
dc.subject | IT | en_US |
dc.subject | Data Warehousing | en_US |
dc.subject | Business Intelligence | en_US |
dc.subject | Cloud | en_US |
dc.subject | MI | en_US |
dc.subject | Open Source | en_US |
dc.subject | Internet | en_US |
dc.subject | Computing | en_US |
dc.title | Investigating how SMEs can benefit from Big Data Analytics | en_US |
dc.type | Thesis | en_US |
dc.description.thesistype | Masters | en_US |
dc.contributor.researchID | 10306498 - Coetzee, Johannes Cornelius (Supervisor) | |