Abstract
Semantic data management in organizations requires careful design of the appropriate semantic planning model that can best drive the organization to its goals. Therefore, designing a semantic framework to make decisions with minimum error and intelligent use of semantic data is inevitable. Lack of a smart or systematic model or lack of a system in place, lack of timely and appropriate decision making, lack of evidence-based planning processes, departures from governance tasks and addressing or drowning in operational and ongoing work. There are reasons why organizations, especially the Ministry of Science, Research and Technology, need to design an appropriate model for this purpose. The purpose of the present study is to design an appropriate and effective planning model in the Ministry of Science, Research and Technology in a macro and detailed manner. For this purpose, in the first phase of the research, macro-planning Framework was developed in the Ministry of Science, Research and Technology by designing a heuristic research approach using qualitative research method with Grounded theory. Then, in the second phase, a detailed planning Framework at the Ministry of Science, Research and Technology was designed using the Structured Analysis Method (SSADM). The quality of the designed pattern in both phases of research was evaluated and validated using scientific methods. Finally, the designed model was analyzed and explained and suggestions for future research were presented.
Highlights
The socio-economic aspect of the organization has required it to look for tools to facilitate the business process, using data effectively, process and analyze them extensively from a variety of sources to build the foundation for the discovery of new knowledge
Semantic data management in organizations requires careful design of the appropriate semantic planning model that can best drive the organization to its goals
Due to the importance of this topic, this research aims to design an intelligent planning model at the Ministry of Science, Research and Technology based on business intelligence
Summary
The socio-economic aspect of the organization has required it to look for tools to facilitate the business process, using data effectively, process and analyze them extensively from a variety of sources to build the foundation for the discovery of new knowledge. Nowadays organizations are more focused on collecting, creating and storing data from a variety of sources than before. Managing this massive amount of data and converting them into the useful information in the time of decisions has posed a great challenge. Management information systems have supported and assisted organizations in their various tasks for many years They have not been able to integrate the scattered and heterogeneous data across different datasets to interpret the existing dependencies among the new data effectively. The importance of moving to the intelligent patterns and required for the organizations for using automated machines in the purpose of reducing possible failures can motivate the organizations to implement intelligent planning patterns
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