Modeling a business intelligence system for school management on local government level

Huđek, Miroslav; Savić, Zoran; Radović, Dragan

doi:10.17559/tv-20160205121415

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Huđek et al (2017) proposed a balanced scorecard method to monitor local schools’ performances. The authors propose an approach to creating a logical model of the DW by combining a balanced scorecard method with a data warehousing technique to assess local schools’ performance.…”

Section: Data Warehouse and E-governancementioning

confidence: 99%

A data warehouse hybrid design framework using domain ontologies for local good-governance assessment

Chakiri

Mohajir

Assem

2020

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Purpose Most local governance assessment tools are entirely or partially based on stakeholders’ surveys, focus groups and benchmarks of different local governments in the world. These tools remain a subjective way of local governance evaluation. To measure the performance of local good-governance using an unbiased assessment technique, the authors have developed a framework to help automate the design process of a data warehouse (DW), which provides local and central decision-makers with factual, measurable and accurate local government data to help assess the performance of local government. The purpose of this paper is to propose the extraction of the DW schema based on a mixed approach that adopts both i* framework for requirements-based representation and domain ontologies for data source representation, to extract the multi-dimensional (MD) elements. The data was collected from various sources and information systems (ISs) deployed in different municipalities. Design/methodology/approach The authors present a framework for the design and implementation of a DW for local good-governance assessment. The extraction of facts and dimensions of the DW’s MD schema is done using a hybrid approach, where the extraction of requirement-based DW schema and source-based DW schema are done in parallel followed by the reconciliation of the obtained schemas to obtain the good-governance assessment DW final design. Findings The authors developed a novel framework to design and implement a DW for local good-governance assessment. The framework enables the extraction of the DW MD schema by using domain ontologies to help capture semantic artifacts and minimize misconceptions and misunderstandings between different stakeholders. The introduction and use of domain ontologies during the design process serves the generalization and automation purpose of the framework. Research limitations/implications The presently conducted research faced two main limitations as follows: the first is the full automation of the design process of the DW and the second, and most important, is access to local government data as it remains limited because of the lack of digitally stored data in municipalities, especially in developing countries in addition to the difficulty of accessing the data because of regulatory aspects and bureaucracy. Practical implications The local government environment is among the public administrations most subject to change-adverse cultures and where the authors can face high levels of resistance and significant difficulties during the implementation of decision support systems, despite the commitment/engagement of decision-makers. Access to data sources stored by different ISs might be challenging. While approaching the municipalities for data access, it was done in the framework of a research project within one of the most notorious universities in the country, which gave more credibility and trust to the research team. There is also a need for further testing of the framework to reveal its scalability and performance characteristics. Originality/value Compared to other local government assessment ad hoc tools that are partially or entirely based on subjectively collected data, the framework provides a basis for automated design of a comprehensive local government DW using e-government domain ontologies for data source representation coupled with the goal, rationale and business process diagrams for user requirements representations, thus enabling the extraction of the final DW MD schema.

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Section: Data Warehouse and E-governancementioning

confidence: 99%

A data warehouse hybrid design framework using domain ontologies for local good-governance assessment

Chakiri

Mohajir

Assem

2020

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“…System development life cycle is constructed with the various phases to be used in order to develop a good quality system [1][2][3]. Requirement elicitation is an important phase of system development life cycle, since it is the phase where the requirements are elicited and extracted from the stakeholders [4][5][6] Implementing and developing all the elicited requirements is extremely difficult with limited resources such as budget constraints, short schedule, and limited staff power [7,8].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Requirements Interdependencies in Existing Techniques of Requirements Prioritization

2019

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Requirements prioritization (RP) is considered as a key role in producing a successful system by selecting the most important requirements to be released. Requirements interdependencies (RI) is one of the crucial aspects that need to be addressed in RP, since most of the requirements in reality are not independent and have dependencies between each other. Thus, ignoring RI in RP process may lead to produce inaccurate prioritization result which directly impacts the system's success. In spite of this, little is known about the impact of RI, and obviously further research is urgently required to measure the RI in the RP techniques. Hence, this study aims to investigate and analyze the existence and the execution steps of handling RI in the existing RP techniques to improve the performance of techniques in generating accurate result and assist the researchers and practitioners to select the appropriate technique that can handle RI in prioritization process. The findings indicate that, out of 65 techniques, there are only 4 techniques that handle the RI. The result reveals that these four techniques still suffer from issues of manual process and heavily rely on the experts' participation. Proposing a new technique is recommended to overcome the identified limitations.

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Implementation of Business English(BE) Teaching Assistant System(TAS) Based on B / S Mode

Gao

2022

2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC)

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Modeling a business intelligence system for school management on local government level

Cited by 3 publications

References 7 publications

A data warehouse hybrid design framework using domain ontologies for local good-governance assessment

A data warehouse hybrid design framework using domain ontologies for local good-governance assessment

Investigation of Requirements Interdependencies in Existing Techniques of Requirements Prioritization

Implementation of Business English(BE) Teaching Assistant System(TAS) Based on B / S Mode

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