Abstract The rapid generation of data by businesses has created a unique and exciting opportunity for management and employees to explore relationships in their data and make informed decisions based on these insights. However, limited sets of tools exist for businesses with no programming and data analysis skills for them to explore this opportunity. This paper proposes a new and improved web-based platform based on a desktop application, INFER, developed by Songhai Group. This application takes into consideration the features and limitations of software tools for data analytics that are currently available. The proposed solution is an end-to-end data analytics platform that enables users to build inferential models from observed data.
Adam, A (2021). Developing a Web-Based System for Inferential Data Analytics. Afribary. Retrieved from https://tracking.afribary.com/works/developing-a-web-based-system-for-inferential-data-analytics
Adam, Abdul-Razak "Developing a Web-Based System for Inferential Data Analytics" Afribary. Afribary, 25 Mar. 2021, https://tracking.afribary.com/works/developing-a-web-based-system-for-inferential-data-analytics. Accessed 24 Nov. 2024.
Adam, Abdul-Razak . "Developing a Web-Based System for Inferential Data Analytics". Afribary, Afribary, 25 Mar. 2021. Web. 24 Nov. 2024. < https://tracking.afribary.com/works/developing-a-web-based-system-for-inferential-data-analytics >.
Adam, Abdul-Razak . "Developing a Web-Based System for Inferential Data Analytics" Afribary (2021). Accessed November 24, 2024. https://tracking.afribary.com/works/developing-a-web-based-system-for-inferential-data-analytics