IUPD (Intelligent University Performance Dashboard)

Ngo, Chen Bang (2017) IUPD (Intelligent University Performance Dashboard). Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Intelligent University Performance Dashboard is a set of modern intelligent analytic tools in the form of RESTful web service, namely an intelligent analytic dashboard, an analytic engine and a flexible analytic NoSQL database aimed to assist the higher education institutions in Malaysia to improve their university performance rating which is evaluated through MyRA assessment. MyRA is an acronym for the Malaysia Research Assessment which is a comprehensive system developed to assess the research capacity and performance of all higher education institutions in Malaysia. The problem statement for this project is that some higher education institutions in Malaysia are having a hard time trying to improve their rating in MyRA assessment so they might be interested in a system that can assist them in any decision-making for improving the performance rating of university. Therefore, the objectives of this project are to design an intuitive browser based dashboard capable of visualizing both the raw MyRA data and the result from analysis for exploration purpose, to investigate the best way to build a scalable analytic engine capable of processing large data sets efficiently to identify the most significant cause for a problem using causal effect analysis, to design a reliable database that can store a huge amount of raw MyRA data and at the same time can run basic analytic operations on them and to design a robust RESTful architecture to facilitate the communication among the tools above through their REST service API. Academically, this project can be considered as one of the reliable means to help improving university performance. It can visualize the MyRA data efficiently which allows more accurate critical decision making from the higher education institutions as they can explore through and obtain insight from their MyRa data. The causal effect analysis functionality provided by this project also allows HEIs to obtain valuable insights into the reasons why their universities are doing badly in certain area and provide suggestions on how to improve these areas. Besides, this causal effect analysis can also be employed on other domains such as business, agriculture, marketing, healthcare and so on.

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