Please use this identifier to cite or link to this item: http://hdl.handle.net/10321/784
Title: An investigation into data management as a strategic information tool and its importance at the Durban University of Technology
Authors: Francis, Ramani
Issue Date: 26-Nov-2012
Abstract: The purpose of this study was to investigate data management as a strategic
information tool and its importance at the Durban University of Technology. The
problem revolved around, inter alia, data management and data accuracy as
structured interventions impacting on sound decision making. There were many
challenges identified with regard to data management at the Durban University
of Technology.
The research design adopted a quantitative methodological approach that was
used for collecting data through the use of a precoded self administered
questionnaire. The empirical component involved a survey method considering
that in was an in-house investigation and the target population equated to only
174 respondents. A significant response rate of 74% was obtained using the
personal method for the data collection. Several hypotheses were formulated
relating to data quality initiatives, data owners and their responsibility and
frequency of data analysis in order to determine accuracy. These were tested
using the Pearson chi-square test as well as data that was analyzed to
determine frequencies and percentages of responses. The data was analyzed
using the computerized Statistical Program for Social Sciences (SPSS)
program. There were some significant findings that emerged from the empirical
analysis.
A highly significant finding was that 95.31% of the respondents
strongly agreed that data management and integrity is of utmost importance at
the Durban University of Technology.
One of the recommendation suggest that an imperative for the Durban
University of Technology to manage its data as an asset, a policy on data
integrity and integration policy should be developed and implemented. Another
recommendation highlighted and staff should strive to attain proper classification
on the database, considering that this directly impacts on the accuracy of the
HEMIS submissions to the Ministry of Education for the state allocated subsidy.
The study concludes with directions for further research as well.
Description: Submitted in fulfilment of the requirements for the Degree of Master Technologiae: Public Management, Durban University of Technology, 2012.
URI: http://hdl.handle.net/10321/784
Appears in Collections:Theses and dissertations (Management Sciences)

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