Is it necessary to create a sample before processing to the next stage?

Creating a sample before processing to the next stage is essential in the context of decisioning and data analysis. A sample allows you to validate the integrity of the data and ensure that the models or processes will be effective before running them on the entire dataset. In decisioning systems, particularly when dealing with large amounts of data, testing a representative segment helps in identifying potential issues, biases, or errors that could impact the overall outcomes. It also enables you to fine-tune configurations and strategies based on the sample results, reducing the risk of negative consequences in broader applications. Thus, establishing a sample serves as a crucial step in ensuring reliable and accurate decision-making processes.