Abstract
The purpose of this study is to come up with a system that allows online hybrid sales analysis The main contributing reason for the development of this system is that the company has no particular system which is used for predicting sales The research main objectives were to make a system which permits compilations of agents sales and calculating the revenue that have been collected at a particular time. Different alternatives where looked at and these include improving the current system, out-sourcing and in-house development for the solution. It has been noted that an in-house is the best idea because of its cost effectiveness and minimum risk associated. Selection of the alternative led to the beginning of the functional and non-functional requirements for the development of the system. Feasibility study was done to determine if it is feasible to develop the system after considering different types of feasibility study techniques. After considering these techniques, it has been noted that it was viable to continue with the development of the system and this has triggered data gathering. Different methods have been used to gather the data. Methods include interviews, questionnaires and observations. After having the data at hand, development started using PHP, MySQL and Dreamweaver platform. The system was tested using unit, module validation and verification tests. After testing the system was implemented using a parallel run method because of its advantages of comparing the data from both systems there by being able to identify errors of the system. Maintenance procedures has been addressed which includes adaptive, corrective and preventive maintenance. It has been recommended to apply the three of them to the system.
NYAHUMA, D (2021). Hybrid Revenue Data System Analysis for Regal Insurance Zimbabwe. Afribary. Retrieved from https://tracking.afribary.com/works/hybrid-revenue-data-system-analysis-for-regal-insurance-zimbabwe
NYAHUMA, DE-VILLIERS "Hybrid Revenue Data System Analysis for Regal Insurance Zimbabwe" Afribary. Afribary, 10 May. 2021, https://tracking.afribary.com/works/hybrid-revenue-data-system-analysis-for-regal-insurance-zimbabwe. Accessed 27 Nov. 2024.
NYAHUMA, DE-VILLIERS . "Hybrid Revenue Data System Analysis for Regal Insurance Zimbabwe". Afribary, Afribary, 10 May. 2021. Web. 27 Nov. 2024. < https://tracking.afribary.com/works/hybrid-revenue-data-system-analysis-for-regal-insurance-zimbabwe >.
NYAHUMA, DE-VILLIERS . "Hybrid Revenue Data System Analysis for Regal Insurance Zimbabwe" Afribary (2021). Accessed November 27, 2024. https://tracking.afribary.com/works/hybrid-revenue-data-system-analysis-for-regal-insurance-zimbabwe