In the age of technological and advanced world big data is important as a world new currency. Organizations believe that big data can improve their performance. However, as with any innovation & adoption, big data analytics should be strictly evaluated for a specific organizational context before adoption. Numerous organizations adopt technology without seeing their level of readiness for that technology which, leads to ineffective implementation and may lead to failure. Big data analytics is an expensive, resource-intensive, and complex process that has been plagued by many problems leading to significant project failures in different industries. The organizational readiness for embracing big data technology must be assessed to discover the organizationâ€™s maturity in revealing the potential of this technology. Assessment of readiness for big data analytics indicates the companyâ€™s current state of progress in terms of Big Data analytics and provides a practical roadmap of future steps need to be taken. The main objective of this research is assessing the readiness of Ethio Telecom for big data technology adoption. To evaluate its readiness, the study used five-dimensional framework which consists of organization specifications, data ecosystem, data governance, data management, and resources. The research used mixed research approach, Explanatory sequential which quantitative data collection and analysis conducted first, followed by qualitative data collection and analysis to assess big data analytics in Ethio Telecom. The research data relevant to measure the readiness of the organization based on the five dimensions is collected using survey questionnaires and interviews from Ethio Telecom information system security division. Stratified simple random sampling for quantitative and purposive sampling for qualitative was used in this study. The data was analyzed using descriptive statistic and data analysis using theme methods. Result indicate that Ethio Telecom is ready in terms of organization specification, data ecosystem, and data management. The findings of this study show that Ethio Telecom is ready to adopt big data in terms of organizational specification, data ecosystem, and data management and with some effort on data governance and resource (technology and human resource). Five-dimensional model that used by this study helps to Ethio Telecom, to improve their chances of successfully implementing big data analytics.