With the development and deployment of ICT in different sector of an Economy, the type andrnamount of data collected by organizations is increasing from time to time. This created thernconcept of big data, data analytics, business intelligence and or data driven decision making. Inrnline with this, almost all organizations are collecting and maintaining some sort of data/rninformation about their business. But it is not common to see many organizations analyzing theirrncollected data and use for decision making. This problem is common among organizations inrndeveloping countries. Ethiopia is not an exception. From this perspective, the objective of thisrnstudy is toexplore the hidden insight behind the data by applying business intelligence toolrntableau. The study followed exploratory research approach; it intends to see the relationshiprnamong product category, value, volume, destination and year of export and used visualization asrnresearch design. The study used secondary data from the period 2007 to 2020 G.C, collectedrnfrom Ethiopian Ministry of Trade.Business intelligence software Tableau was used to analyze therndata.rnThe finding is very impressive. The analytics tool revealed that there is much insightfulrninformation hidden inside the huge data set. Insights related to trend and relationships amongrnsome key data variables is interesting particularly for CEOs that donâ€™t have to crunch every datarnin detail. The different tables that results from the analysis revealed the importance of datarnanalytics. Particular emphases can be given to the visualization feature of the tools.