Describe the functions a user can perform on a data warehouse and illustrate the results of these functions on a sample multidimensional data warehouse.

The functions a user can perform on a data warehouse are querying and reporting, data analysis, data mining, and data cleansing. Querying and reporting involve extracting and presenting data; data analysis involves inspecting, cleaning, transforming, and modeling data to discover useful information; data mining involves discovering patterns in large data sets; and data cleansing involves identifying and correcting discrepancies. On a sample multidimensional data warehouse with dimensions for time, product, and location: querying could involve generating a report of all products sold in a certain location during a specific time frame; data analysis might include determining patterns or trends in product sales over time; data mining could identify clusters of locations where certain products sell well; while data cleansing would focus on spotting and rectifying anomalies or errors in the raw data.