The proliferation of industrial data suggests that big data may be collected and, with careful, in-depth analysis, might be very advantageous to businesses. Yet, the majority of small businesses are unable to pay the expense of a dedicated statistical analysis team. This problem is resolved in this work by applying the Generic Production Data Method (GPDS), a broad statistical analysis technique. The majority of data analytics tasks in the industrial sector may be completed by this structure, and individuals with no prior experience or training can nevertheless execute data analysis with ease. To build a system like this, we created an abstract language called GPDS to specify the data analysis activities that manufacturers must perform. A number of algorithms have been chosen, fine-tuned, and customized for the analysis of industrial data. GPDS has produced some important methods, including an effective function assessment algorithm and an appropriate algorithm choosing strategy. Illustrations demonstrate the system’s dependability and practicality.