Just like any other database, a well-designed Power BI dataset can still fail to deliver its objectives due to external factors. For example, Power BI reports can be created that generate a wide and long table of many columns and many metrics. These data extracts and other dense visualizations that plot many different points are very resource-intensive relative to card- and summary-level chart visualizations. Additionally, even when the compression of an import mode dataset is maximized and the DAX Measures are efficient, there may be insufficient hardware resources available to support the given reporting workload. It's the responsibility of the Power BI admin, as described in Chapter 1, Planning Power BI Projects, and potentially any delegated capacity administrators to utilize the monitoring capabilities of Power BI and to provision the necessary resources to ensure sufficient performance.