Intelligence performance dashboard for network investigation department

The study concentrates on improving the Network Investigation Department's performance by implementing an intelligence performance dashboard. The department is composed of 12 analysts and one department leader. This department currently uses 12 different systems for their everyday analysis oper...

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Main Author: Mohamed Samsudin, Amir Irsyad
Format: Thesis
Language:English
Published: 2022
Subjects:
Online Access:http://eprints.utm.my/id/eprint/102142/1/AmirIrsyadMohamedSamsudinMAHIBS2022.pdf.pdf
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id my-utm-ep.102142
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spelling my-utm-ep.1021422023-08-07T08:09:08Z Intelligence performance dashboard for network investigation department 2022 Mohamed Samsudin, Amir Irsyad HB615-715 Entrepreneurship. Risk and uncertainty. Property The study concentrates on improving the Network Investigation Department's performance by implementing an intelligence performance dashboard. The department is composed of 12 analysts and one department leader. This department currently uses 12 different systems for their everyday analysis operations and requires other intelligent methods to calculate their KPIs. To improve the situation, an intelligence performance dashboard was proposed. However, prior to the intervention, this research evaluated the requirements and elements utilized in the performance dashboards by interviewing stakeholders and understanding the components that will be covered. Then, the study evaluated the analysts' performance after the intervention. By using the performance dashboard, the department's users can monitor each person's performance by referring to the dashboard and efficiently tracking the department's overall performance by referring to the departmental performance dashboard. The first intervention is to connect all 12 systems currently being used by the departments and collect all the essential data to calculate the performance. These intelligence performance dashboards summarised their overall performance in a single dashboard. The second intervention is to add a schedule reminder to remind all the analysts regarding their performance. This research employed a mixed methodology by interviewing to collect the preliminary data. After the intervention of cycle 1, an interview was conducted, and a questionnaire was given to the stakeholder to calculate the interventions' effectiveness. In the second intervention, the department's head was interviewed in order to understand their current performance before the second intervention. Finally, collection data from the system was used to improve their performance for the post interventions data. This research has improved the department performance calculations process by automating it and displaying it into a single dashboard. It also has increased the department's performance by showing them their current performance status and the reminder module to remind them to monitor their performance status from time to time. 2022 Thesis http://eprints.utm.my/id/eprint/102142/ http://eprints.utm.my/id/eprint/102142/1/AmirIrsyadMohamedSamsudinMAHIBS2022.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:146630 masters Universiti Teknologi Malaysia Azman Hashim International Business School
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic HB615-715 Entrepreneurship
Risk and uncertainty
Property
spellingShingle HB615-715 Entrepreneurship
Risk and uncertainty
Property
Mohamed Samsudin, Amir Irsyad
Intelligence performance dashboard for network investigation department
description The study concentrates on improving the Network Investigation Department's performance by implementing an intelligence performance dashboard. The department is composed of 12 analysts and one department leader. This department currently uses 12 different systems for their everyday analysis operations and requires other intelligent methods to calculate their KPIs. To improve the situation, an intelligence performance dashboard was proposed. However, prior to the intervention, this research evaluated the requirements and elements utilized in the performance dashboards by interviewing stakeholders and understanding the components that will be covered. Then, the study evaluated the analysts' performance after the intervention. By using the performance dashboard, the department's users can monitor each person's performance by referring to the dashboard and efficiently tracking the department's overall performance by referring to the departmental performance dashboard. The first intervention is to connect all 12 systems currently being used by the departments and collect all the essential data to calculate the performance. These intelligence performance dashboards summarised their overall performance in a single dashboard. The second intervention is to add a schedule reminder to remind all the analysts regarding their performance. This research employed a mixed methodology by interviewing to collect the preliminary data. After the intervention of cycle 1, an interview was conducted, and a questionnaire was given to the stakeholder to calculate the interventions' effectiveness. In the second intervention, the department's head was interviewed in order to understand their current performance before the second intervention. Finally, collection data from the system was used to improve their performance for the post interventions data. This research has improved the department performance calculations process by automating it and displaying it into a single dashboard. It also has increased the department's performance by showing them their current performance status and the reminder module to remind them to monitor their performance status from time to time.
format Thesis
qualification_level Master's degree
author Mohamed Samsudin, Amir Irsyad
author_facet Mohamed Samsudin, Amir Irsyad
author_sort Mohamed Samsudin, Amir Irsyad
title Intelligence performance dashboard for network investigation department
title_short Intelligence performance dashboard for network investigation department
title_full Intelligence performance dashboard for network investigation department
title_fullStr Intelligence performance dashboard for network investigation department
title_full_unstemmed Intelligence performance dashboard for network investigation department
title_sort intelligence performance dashboard for network investigation department
granting_institution Universiti Teknologi Malaysia
granting_department Azman Hashim International Business School
publishDate 2022
url http://eprints.utm.my/id/eprint/102142/1/AmirIrsyadMohamedSamsudinMAHIBS2022.pdf.pdf
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