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Business Intelligence Systems and Data Organization Report (Assessment)


Introduction

Business Intelligence (BI) systems are widely used in the private sector, but its implementation in the public sector is promising as well (Nolan, 2012). The BI may be used in the multiple police organizations to support their working process. Many researchers consider that one of the essential functions of the BI software is the efficient data organization (Agiu, Mateescu, & Muntean, 2014). In this way, police organizations may effectively apply the systems for the allocation, operation of resources, and planning (Carlsson, Skog, & Tona, 2010).

The purpose of the paper is the creation of research plan that would allow the assessment of the BI system usage effects on the performance and efficiency of UAE police. The selected research methods and tools will help to evaluate the overall success of the BI system integration into the context of the police.

Research Plan

Hypothesis

The hypothesis of the study is the following: the integration of the BI systems in the police working process impacts the data organization in a positive way; as a result, it may increase the working productivity and efficiency of the resources allocation.

Research Design

According to Moskovitz and Even (2014), the BI software provokes benefits associated with the organizational performance and management (p. 13). To provide the evidence for this statement, the study focuses on the evaluation of the BI’s multiple impacts on such aspects of working performance as 1) quality of data organization, 2) the BI’s user satisfaction, and 3) overall organizational impact. The BI system implementation is the independent variable of the study while its effects on the working process are considered the dependent variables.

The study includes the methods of both quantitative and qualitative research. The qualitative research method is the inductive evaluation of the previous research findings, and the quantitative research method is the analysis of the collected data. Along with the literature review, the main tools of data collection include the survey, questionnaire, and interviews. The survey will comprise 20 items related to the BI system integration and operation which the study participants will be asked to evaluate on a 5-point scale ranged from the extremely negative estimation to the extremely positive one. The questionnaire will include 15 questions implying the bipolar answers (yes/no). The questionnaire will help to reveal the individual attitudes towards the BI systems application within the organization.

The sample of the study is the randomly selected group of UAE police employees. For the research, one of the police service organizations will be selected, and the sample will comprise from 100 to 150 employees of both genders and different age. The variables of age and gender will be taken into consideration while analyzing the data collected with survey and questionnaire.

For the analysis of the collected data the software tools, such as SPSS and SAS, will be implemented.

Justification of the Research Method Selection

The application of both quantitative and qualitative research methods will help to identify the statistical relationship between the variables and, at the same time, investigate the specific patterns of correlation between the analyzed aspects. According to Collins, Joseph, and Bielaczyc (2004), the qualitative research methods help to understand and interpret the interrelations between the variables while the quantitative methods allow the researcher to test the hypothesis and provide the evidence for the predictions (p. 15). Therefore, the application of both methods will help to receive the comprehensive information about the issue.

The random sampling technique is characterized by the representativeness of the studied population, and it helps to attain the generalized results (Creswell, 2003). However, it is mentioned that for the achievement of a higher level of reliability, it is important to take into consideration the multiple characteristics of the population (gender and age variables). But the data analysis and the descriptive statistics tools, such as correlation and covariance, may help to reduce the test bias.

SPSS and SAS are the commonly used tools of the computerized statistical analysis (Oyeyemi, 2010). The packages are meant to help researchers to comprehend the characteristics of the collected data in details. By using SPSS or SAS, it is possible to learn about the data value, the character of variables, distribution range, etc. The quantitative analysis will help to arrange the data, summarize it, and make the consequent inference and interpretation of the results.

Conclusion

The study will assist in the evaluation of the BI technologies on the working performance within the context of the police organization from the perspective of the specifically chosen performance and quality indicators. The evaluation of the effects of the BI system integration in the randomly selected organizational settings will allow comprehending the overall value of BI for the police operational processes. It is presumed that the BI technologies may provoke the favorable changes in the police performance and may lead to the significant improvement. Therefore, the current study is of great importance, because it can positively affect the performance of the public sector and, as a result, influence the favorable changes in the society.

References

Agiu, D., Mateescu, V., & Muntean, I. (2014). Business Intelligence overview. Database Systems Journal, 5(3), 23-36.

Carlsson, S., Skog, L., & Tona, O. (2010). Web.

Collins, A., Joseph, D., & Bielaczyc, K. (2004). Design research: Theoretical and methodological issues. Journal of the Learning Sciences, 13(1), 15.

Creswell, J. (2003). Research design: Qualitative, quantitative, and mixed methods approaches. London, UK: Sage Publications.

Moskovitz, E., & Even, A. (2014). The Impact of a BI-Supported Performance Measurement System on a Public Police Force. International Journal of Business Intelligence Research (IJBIR), 1(5), 13-30. doi:10.4018/ijbir.2014010102.

Nolan, B. (2012). Dayton Daily News. Web.

Oyeyemi, G. (2010). Complex survey data analysis: A Comparison of SAS, SPSS and STATA. Asian Journal of Mathematics & Statistics, 3(1), 33-39.

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IvyPanda. 2020. "Business Intelligence Systems and Data Organization." May 14, 2020. https://ivypanda.com/essays/business-intelligence-systems-and-data-organization/.

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IvyPanda. (2020) 'Business Intelligence Systems and Data Organization'. 14 May.

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