dc.contributor.author | Ndambo, Davis | |
dc.date.accessioned | 2017-01-04T09:38:16Z | |
dc.date.available | 2017-01-04T09:38:16Z | |
dc.date.issued | 2016-11 | |
dc.identifier.uri | http://hdl.handle.net/11295/98835 | |
dc.description.abstract | This study focussed on big data and competitive advantage in commercial banks and
insurance companies in Nairobi, Kenya and was dependent on the following
objectives: To establish the extent of application of big data analytics in commercial
banks and insurance companies in Nairobi; to determine the relationship between big
data analytics and competitive advantage of commercial banks and insurance
companies in Nairobi; to establish the challenges of big data analytics in commercial
banks and insurance companies in Nairobi. A descriptive survey was employed for
the purpose of data collection for this research. The population targeted for this study
was commercial banks and insurance companies in Nairobi, Kenya. There are 42
commercial banks and 49 insurance companies in Nairobi. A sample of 20
commercial banks and 25 insurance companies was undertaken due to the limited
time allocated for data collection and analysis. The sample was selected based on a
judgmental basis taking into account the companies’ use of big data analytics. This
research used primary data collected using structured questionnaires. The respondents
were managers dealing with company strategies and/ or information and technology
managers in the selected companies. The data was analyzed using frequencies,
percentages, mean, and standard deviation and regression techniques. The study found
that companies in the financial industry specifically commercial banks and insurance
firms have invested in data storage facilities and advanced tools in the area of
business intelligence for reporting and analysing consumer/ client behaviour. These
tools allow the companies to anticipate consumer needs more effectively, in addition
to optimizing their operations. The addition of big data analytics systems in the
companies’ daily routines enables them to gain higher levels of insight in the big data
environment thus enabling more effective decision making. There are challenges in
management of big data that if addressed can help organizations appreciate the full
potential of big data tools and various analytics especially in aspects of competitive
advantage. This study, through a thorough analysis of its findings concludes that the
big data revolution has found a place in the commercial banking and insurance
industry in Nairobi, and that the trend is on the rise as these companies continue to
discover the valuable data with tremendous potential they have had in their storage for
decades. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Nairobi | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | Commercial Banks And Insurance Companies In Nairobi, Kenya | en_US |
dc.title | Big Data Analytics and Competitive Advantage of Commercial Banks and Insurance Companies in Nairobi, Kenya | en_US |
dc.type | Thesis | en_US |