Intelligence performance dashboard for network investigation department

• Main Author: Mohamed Samsudin, Amir Irsyad
• Format: Thesis
• Language: English
• Published: 2022
• Subjects: HB615-715 Entrepreneurship. Risk and uncertainty. Property
• Online Access: http://eprints.utm.my/102142/1/AmirIrsyadMohamedSamsudinMAHIBS2022.pdf.pdf

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.