Case Study Example The majority of ETI$$s IT team is convinced that Big Data is the silver bullet that will address all of their current issues. However, the trained IT members point out that adopting Big Data is not the same as simply adopting a technology platform. Rather, a range of factors first need to be considered in order to ensure successful adoption of Big Data. Therefore, to ensure that the impact of business$-$related factors is fully understood, the IT team sits together with the business managers to create a feasibility report. Involving business personnel at this early stage will further help create an environment that reduces the gap between management$$s perceived expectations and what IT can actually deliver. There is a strong understanding that the adoption of Big Data is business$-$oriented and will assist ETI in reaching its goals. Big Data$$s abilities to store and process large amounts of unstructured data and combine multiple datasets will help ETI comprehend risk. The company hopes that, as a result, it can minimize losses by only accepting less$-$risky applicants as customers. Similarly, ETI predicts that the ability to look into the unstructured behavioral data of a customer and discover abnormal behavior will further help reduce loss because fraudulent claims can be rejected. The decision to train the IT team in the field of Big Data has increased ETI$$s readiness for adopting Big Data. The team believes that it now has the basic skillset required for undertaking a Big Data initiative. Data identified and categorized earlier puts the team in a strong position for deciding on the required technologies. The early engagement of business management has also provided insights that allow them to anticipate changes that may be required in the future to keep the Big Data solution platform in alignment with any emerging business requirements. At this preliminary stage, only a handful of external data sources, such as social media and census data, have been identified. It is agreed by the business personnel that a sufficient budget will be allocated for the acquisition of data from third$-$party data providers. Regarding privacy, the business users are a bit wary that obtaining additional data about customers could spark customer distrust. However, it is thought that an incentive$-$driven scheme, such as lower premiums, can be introduc solve $?$