What is a drawback of using Cube Sheets in data analysis?

The drawback of using Cube Sheets in data analysis is that they support only cube-entered General Ledger (GL) accounts for classifications. This limitation means that users can only work with a subset of financial data that is structured specifically for cube entry, which can restrict the flexibility and accessibility of information derived from other sources or formats outside of this structure.

Organizations may have a variety of GL accounts with different classifications not all of which may be cube-entered. This can create challenges when trying to perform comprehensive analyses or consolidate data from multiple sources, potentially leading to incomplete insights. The reliance on cube-entered data can hinder the ability to analyze all relevant financial metrics or make timely decisions based on a broader financial picture.

In contrast, the other options highlight features that are beneficial for data analysis, making them less relevant as drawbacks. Dynamic adjustments, comprehensive tool options, and multidimensional input capabilities are all strengths of Cube Sheets and enhance their functionality rather than detract from it.