i-dashboard: Real-time decision support for manufacturing industry

• Main Authors: Siraj, Fadzilah, Abu Bakar, Nur Azzah, Sahazudin, Faizzudin, Zulkefli, Muhammad Syaffiq Hazari
• Format: Conference or Workshop Item
• Language: English
• Published: 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/24490/1/SICONSEM%202017%2025%2027.pdf; http://repo.uum.edu.my/24490/
• Institution: Universiti Utara Malaysia

Purpose - Decision support tool is becoming an important tool to assist decision maker in making good business decision.An accurate decision support is the main business measurement and benchmarking where it technically assists a corporate organization to gain competitive advantage.Most often, the business operation data are collected daily and recorded in MS Office files in silos and not integrated.Therefore, data across multiple departments were unable to be made available in a timely manner.Due to this reason, there is a need for such data management system that contains integrated data with the ability to assist fast and appropriate decision making with an aid of visual graphical information. In this study, i-Dasboard is applied to a selected manufacturing industry, aims to assist a General Manager to make a decision based on the online information provided by the relevant departments prior to approving a request from the clients. Dashboard can be easily delivered to assist the user in decision making (Abdul Rahman, Bena Adamu & Harun, 2017).It is a tool that organizes the presentation of information in a way that is easy to be interpreted (Chowdhary et al., 2005) and allows data to be exported into other formats.In some cases, it also provides online analytical processing that enables multi-dimensional analytical queries, encompasses relational database report writing and data mining. Following Karami et al. (2013), and Siraj and Shadan (2015), different dashboard views have been designed for users based on their roles in the organization.For example, Siraj and Shadan (2015) proposed a dashboard application design that provides a singlescreen display of relevant information such as the phone performance and coin collection reports, as well as generating revenue to enable faster and more effective decision making.Visualization is a technique for a dashboard to connect the user in the information processing experience.According to Few (2006), dashboard is the most important visual display that should be good in delivering information at first glance.