Lessons from BI in Public Institutions

Data analysis

Data were analysed at two levels: quantitative analysis and qualitative analysis. In the former case, the researchers drew conclusions from the data sets and determined the statistical significance of the collected data sets, which contain daily management logon statistics for analytics. The findings from the data sets increase the validity and reliability of the study and complement the qualitative outcomes. In the latter case, qualitative analysis involved the reduction, organisation, interpretation and substantiation of data. The main purpose was to identify themes and patterns embedded in the text. The researchers used thematic analysis with these themes derived from the theoretical framework of Grubljesic and Jaklic. The following themes were explored: individual characteristics, systems quality, organisational factors, macro-environment factors, behavioural beliefs and attitudes, effort perceptions, social influence, facilitating conditions, and 'other'.