ASMS: Quality Assurance IntroductionThe current aviation industry is experiencing a constant increase in the number of complex and diverse networks of government or corporate organizations, as well as an increase in the advancement of equipment used for the development of aircraft. As a result of change, organizations are required to continually adapt to meet the required relevance and feasibility. Data collection and analysis in the aviation sector has a vital role to play. Airlines are expected to leverage actionable insights generated from the analysis of different forms of data in reducing equipment downtime and improving operational efficiency. Using data collection, analysis and trends in program planning processingData collection and processing in aviation is a very important tool for companies in this industry to conduct internal evaluation of Safety Management System (SMS) from the company. Through these assessments, the company is able to determine whether SMS is aligned with its expectations and goals. The company should take into account the results of assessments carried out at an earlier date. Furthermore, data must be used carefully to ensure that the safety criticality of the program being evaluated is taken into account. Well-guided data collection, processing and trending in the aviation industry can bring a revolution in the assessments defined in airlines (Vinshnu, 2014). Aviation companies are now collecting data using sensors that gather information about the surrounding environment and jet engines. Data collected about your surroundings can include air pressure, humidity, and temperature. This data can be... at the center of the paper... artisanal movement. As in any other industry, a high level of safety should also be a top priority in the aviation sector. Safety in this industry is known to improve customer satisfaction, which is accompanied by an increase in the number of customers for the specific airline. References Narjess, T. (2011). Aeronautical statistics and data: a vital tool for decision making. ACI Airport Statistics and Forecasting Workshop 2(4):5-22Wang, Y., Francis, K., & Sun, J. (2014). Safety investments in the aeronautical sector: a longitudinal analysis. Industrial Management and Data Systems.114 (2):276-291.Deshpande, V. (2012).The impact of airline flight schedules on flight delays. Management of manufacturing and service operations. 14(3):423-440.Vinshnu, P. (2014). Big Data integration in the aeronautical sector. Computer science journal. (5)4: 2-9