Heat treatment is an unavoidable process that distorts hardened parts. This geometrical change has to be considered for the ensuing manufacturing steps. A suitable option to get knowledge about a process is to look at the existing data. This investigation was done at Pankl Racings Systems AG in Austria. The aim was to check if there are any statistically significant relations between the geometrical change caused by heat treatment, also known as distortion, and the hardness parameters for the surface and core of the parts and the case hardness depth. The project focuses on one specific part, a driveshaft used in a gearbox for motorbikes, to finalize the investigation within the given time frame. This project serves as a foundation for further investigation of Big Data analytics to gain in-depth knowledge ofdistortion for various heat-treatment processes. The method of choice is correlation analysis. It is essential to know all manufacturing steps as well as the measurement value acquisition. The most tedious process was acquiring valid data since such an investigation had never been done before at Pankl. After preparing the gathered data, it was analyzed in statistics software. The analysis showed a strong correlation between the geometrical change in length of the driveshaft and the case hardness depth. Further, the surface and the core hardness showed a significant correlation with distortion as well. However, for some chosen geometrical characteristics, not enough data was available to perform a meaningful analysis. For the company, this investigation gave new insights into the heat treatment process. It serves as a basis for further investigation. The process of data acquisition will be of importance in upcoming projects.