Which of the following are considered diagnostic analytics techniques? performing time series analysis performing drill-down analysis performing what-if analysis

All of the above The correct answer is: All of the above Diagnostic analytics techniques are used to understand what has happened in the past and to identify the causes of specific events or problems. The techniques listed are all used for this purpose: 1. **Performing time series analysis**: This involves analyzing data points collected over time to identify patterns, trends, and seasonal variations. It helps in understanding the historical performance and can be used to predict future trends. 2. **Performing drill-down analysis**: This technique involves breaking down high-level data into more detailed data to understand the underlying factors that contribute to the observed results. It helps in identifying specific areas of interest and can be used to uncover hidden insights. 3. **Performing what-if analysis**: This involves exploring different scenarios to understand the potential outcomes of various decisions or changes in conditions. It helps in making informed decisions by considering the potential impact of different actions. All these techniques are part of diagnostic analytics, which focuses on understanding past events and their causes.