Discussion Post

Discussion: Data MiningData mining refers to the process of finding patterns, errors, and correlations with large information sets to forecast results. The more complicated the information sets gathered, the more possibility there is to reveal significant insights. In the manufacturing industry, the large amounts of information in its databases, which contains numerous records, make manual evaluation impractical (Choudhary, Tiwari & Harding, n.d.). Therefore, data mining is a significant tool in realizing automated data analysis’ objective. Big Data has made headlines in most industries, promising to revolutionize the way businesses make decisions. The aviation industry constantly looks for ways to reduce costs. As new aircrafts yield more in-flight information compared to older ones, innovative evaluation techniques summarized by Big Data Analytics allow for large data processing within a short time (De Bree, 2021). Operations managers for large airplane manufacturing plants can use data mining as a tool to reduce airplane part costs. Cost effectiveness goes hand in hand with choosing the correct parts for the exact airplane being constructed. Surprisingly, this is usually overlooked. The aircraft maintenance and manufacturing processes are characterized by unforeseen material requirements and process time (Panyok, 2021). Data mining can help operations managers for large airplane