In which analytics stage is data mined and aggregated for display?

Descriptive analytics is the stage where data is mined and aggregated for display. This type of analysis focuses on summarizing historical data to capture insights and trends. It provides a comprehensive view of what has happened in the past by collating data from various sources, structuring it, and presenting it in a way that is easily interpretable. This stage typically involves generating reports, visualizations, and dashboards that convey significant patterns and metrics, helping stakeholders understand the context and the impact of prior decisions based on the collected information.

While the other analytics stages serve different purposes, they do not focus primarily on data mining and aggregation for display. Predictive analytics interprets historical data to forecast future outcomes, prescriptive analytics recommends actions based on data analysis, and diagnostic analytics investigates the reasons behind past outcomes. Therefore, descriptive analytics is specifically geared towards the aggregation and presentation of historical data, making it the correct choice in this context.