Business Intelligence (BI) has embarked on decision-making setting. This has influenced many organizations from different industries that are located in diverse regions to implement BI. Critical Successful Factors (CSF) becomes the guideline for the implementer to adopt BI successfully. However, lack of BI knowledge and weak consideration of BI CSF led to the failure of BI implementation project. Several issues and challenges have been identified during the BI implementation. In addition, other researchers rarely discussed this subject. Thus, the objective of this paper is to recognize the issues and challenges on BI implementation. Through qualitative method, BI practices systematically described the purpose of BI execution on selected organizations, industries and regions. It has given the path towards the issues and challenges of BI implementation. The identified issues and challenges are defining the business goal, data management, limited funding, training and user acceptance as well as the lack of expertise issues. The findings categorized the issues and challenges into three dimensions of CSF for BI implementation, which are Organization, Process and Technology dimension. Limitation in this study requires future researchers to study in details of these issues and challenges including the solutions and the impact of BI implementation.

Recently in the field of disaster risk management, the applications of rainfall data from X-band Polarimetric radar are rapidly increasing due to the advancement of radar technology and analytical tools. In most cases, these rainfall data are used in the development and application of the meteorological and hydrological models. One of the typical purposes of such models is to report and disseminate disaster information such as rainfall to the government, related agencies, and the public for disaster prevention or mitigation. To accomplish this, the reliability of rainfall data from X-band Polarimetric radar is one of the most important factors as the data are the fundamental input. Equally important is the appropriate analytical method of the data to ensure the predicted rainfall information based on the collected data is reliable and safe to be used for further development and applications. Under such circumstances, this paper aim to investigate and evaluate the types of analytical methods for rainfall estimation by using X-band Polarimetric radar data. Content analysis was carried out and as a result, the statistical analyses were found as an appropriate analytical method to determine the reliability of rainfall data from the X-band Polarimetric radar. Further, the result from this study will be used to apply to a set of actual rainfall data from X-band Polarimetric radar and Automated Meteorological Data Acquisition System implemented in a region in Japan.

The application of X-Band Polarimetric radar (X-Band MP radar) is very effective in disaster risk management which can help professional, researchers, private and government agencies to take actions for rainfall-related disaster preparedness and prevention activities. This needs dissemination of rainfall radar data and information for developing the methods, models and applications. With the emerging Internet technologies, many web-based systems are used as a fundamental platform for gathering, processing and delivering the data or information in many fields. This paper is aimed to recognize the requirements of a web-based framework for rainfall estimation system by using X-Band MP radar. Through the systematic approach, three requirements for the proposed architecture are identified, which are the source of rainfall data, the technology involved in the system development and the features of web-based system. Those requirements are represent the whole concept of X-Band MP radar system for Malaysia. Based on the outcome of this study, a web-based system framework is proposed and the prototype of the proposed system will be developed.