Which type of analytics should the company conduct to obtain this information?

Regression analysis is primarily used to understand relationships between variables and to predict future outcomes based on historical data. While it can provide valuable insights, it is not the best choice for simply summarizing past data or trends, which is the core need expressed in the question.

Correlation analysis evaluates the strength and direction of relationships between two or more variables. Although it can indicate how variables are related, it does not provide a comprehensive summary of data or trends. Thus, it is not suitable for the company's need to understand past performance in a holistic manner.

Outlier analysis focuses on identifying data points that deviate significantly from the rest of the dataset. While understanding outliers can be important for data quality and accuracy, it does not provide a comprehensive view of overall trends or past performance, which is what the company seeks.