Browsing by Author "Fikre, Mesfin (PhD)"

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    Analytics of Mobile Banking Customers Usage Behavior: The Case of Commercial Bank of Ethiopia
    (A.A.U, 2021-09) Mulatu, Habtamu; Fikre, Mesfin (PhD)
    Commercial bank of Ethiopia is making efforts to create awareness and usage of mobile banking services few people are using the facility given by the bank Only a few kinds of research have been conducted in these areas. Research should be conduct to solve the problems. The main objective of this study is to make analytics of the mobile banking customer usage behavior in the commercial bank of Ethiopia. The study was conducted by using a descriptive type of study based on a quantitative approach to analyze mobile banking customers' usage behavior. The population of interest in this study comprising of mobile banking customers in the commercial banks of Ethiopia. The study was carried out using system-derived secondary data. The analysis of the system-derived data was done with help of tableau desktop software. The overall results were revealed that analytics of mobile banking customer usage behavior has a significant role for a commercial bank in Ethiopia to draw hidden insight and to aid decision making. The researcher made exploratory and descriptive analyses were performed on the available data set. The study recommended banks maximize extensive use of data to make data-driven decisions making.
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    Application of Data Driven Decision Making in Case of Ethiotelecom Fault tolerant and Maintenance Management
    (A.A.U, 2021-03) Mekuria, Matiwos; Fikre, Mesfin (PhD)
    Today’s world competition leads by big data analytic. This study has been conducted with an objective to explore the application of data driven decision making. The analysis of this study was made based on an existing data of wireless network operation and maintenance fault tolerant and maintenance trend in Addis Ababa zones. Ethiotelecom use data only to routine base operation and maintenance tasks. Due to this there is a number of unknown root causes existing frequently and the reason is invisible to the management. Moreover, to achieve the research objective the research adopted a descriptive research design; using quantitative approach. And secondary data extracted from ethiotelecom central data system to analyses by using Tableau tool. The research analyses show that the maintenance and fault handling trends of Addis Ababa zone need further improvement. And from the relationships between maintenance and fault tolerant variables the analyses result indicates the effect of variables on network availability rate. There is a need of implementation of data driven decision making to look insight of all existing data. Ethiotelecom must be replaced the network operation and maintenance routine function by data base decision so becoming data driven and instead of asking “what do we think” start asking “what do we know”.