Big data is related to the extraction of large and complex data into meaningful data which cannot be extracted or analyzed by traditional methods. Storing and retrieving vast amount of structured as well as unstructured data at desirable time is undergoing challenges in the big data and real time system. Big data analytics serves as a powerful catalyst for business growth and performance optimization. By transforming raw data into actionable insights, it empowers businesses to make informed decisions-makers and enhance customer experiences. The process of big data analysis involves identifying trends and patterns within data sets, thereby facilitating the extraction of meaningful conclusions. Information verification provides accurate, clean, and complete information that has been eliminated data errors and ensure that the data is not corrupted. Big data anlytic system was discussed in this paper as a tool for real-time information verification and as means of overcoming the limitations in handling and processing large amounts of data using conventional storage techniques, in order to provide accurate and reliable information effective for jurdiscious management of organization and decisionmaking. This paper was able to discuss conceptual/theoritical framwork, big data analytic processes, types, clasification, methods and its importances of big data analytic system.