Which factor is NOT typically considered when assessing the analytics and system approach?

When assessing the analytics and system approach, the primary focus is often on how effectively the systems perform in processing data, the accuracy of the analytics results, and the suitability of the analytical methods employed. All of these factors play crucial roles in ensuring that the insights derived from data are reliable and actionable.

The quantity of data collected, while important in many contexts, is not typically a direct factor when evaluating the effectiveness of the analytics system itself. The quality and relevance of the data, along with how well the systems analyze this data, are more critical than merely focusing on the volume of data. An excessive amount of data can sometimes lead to challenges in processing and analysis that do not necessarily contribute to better analytics outcomes. Therefore, the quantity of data collected is the factor that does not fit into the common considerations when assessing analytics and system approaches.