The explosive growth of unstructured data in the National Health Insurance Scheme (NHIS) in Nigeria has given rise to the lack of an appropriate data storage mechanism to house data in the Scheme. This paper x-rayed these data storage challenges with a view to implementing a storage mechanism that can handled large volume and different formats of data in the Scheme. The NHIS is currently using the paper-based, file and cabinet data storage system with some of the data stored in the form of PDF, Excel and image files on the computer system. This has led to serious challenges ranging from the loss of data, lack of appropriate data storage facilities to accommodate the data to the delay in the administration of quality care to beneficiaries of the Scheme. Also, the diversity of data with the ever-growing datasets which is also generated at very high rate has also constituted a major challenge for NHIS. This research therefore developed a computer-based data storage system using MongoDB which has full index support, replication, high availability and auto-sharding. The design was done with Enterprise Application Diagrams and implemented using Java Programming Language, MapReduce Framework and MongoDB. The study shows that there are inequities in the delivery of services within the NHIS in Nigeria due to lack of proper storage medium. This is responsible for the ineffectiveness and inefficiency of healthcare services received through the Scheme. In conclusion, this research has provided the stakeholders with access to information more easily, which will enable them to plan, evaluate, and collaborate more effectively. Keywords: Big Data, NHIS, Storage, MongoDB, Data, Analytics.
In this paper, we formulated, designed, implemented and evaluated a model used for classifying stakeholders' requirements that are specified for web application development. The study employed both qualitative and quantitative research approaches in a case study. Requirements were elicited from stakeholders using the interview approach. This involved speaking with the stakeholders directly via groupware and asking them questions about their specific needs that are relevant to the development of web application. In particular, 10 customers of Procrea8 Technology Solution Limited and 9 developers were used as respondents. An interactive genetic algorithm was used to formulate the model. The design was specified using the Unified Modeling Language (UML) tool, and implemented using specified web technology tools. The model was evaluated for completeness and consistency using recall and precision as parameters. The results showed that a list of ordered requirements was produced based on the stakeholders' priorities inputted into the model. The output indicated the order of priorities finally assigned to each of the requirements. The evaluation revealed that the model is effective, efficient, userfriendly, reliable (with 96.3% accuracy), scalable (prioritized over 500 requirements), less timeconsuming (prioritizing over 500 requirements) and able to update ranks whenever changes occur automatically. Also, the model evaluation indicates 97.1% precision (consistency), and 96.0% recall (completeness). The study shows that requirements engineers could use the model to collate stakeholders’ requirements from wide geographical locations. Keywords: Requirements analysis, requirement prioritization, requirements engineering, web application, requirement specification.
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