Final answer:
Lack of functionality is NOT a typical problem associated with using Excel for data storage; instead, Excel is prized for its versatile functions. Common issues include loss of data, errors in the data, and data redundancy.
Step-by-step explanation:
When using Excel to store data, the following can typically be experienced: loss of data, errors in the data, and data redundancy. However, lack of functionality is generally not considered a problem inherent to Excel itself for data storage purposes. Instead, Excel is known for its extensive functionality, especially in data analysis and visualization. It is designed to be a powerful tool for handling and analyzing data, with features like pivot tables, data analysis tool packs, and various graphing options.
Loss of data may occur due to accidental deletion or file corruption. Errors in data can arise from manual data entry, incorrect formulas, or misinterpretation of data types. Data redundancy happens when the same data is repeated in multiple places within a spreadsheet, which can lead to inconsistencies and increased file size.
Therefore, while Excel can pose certain issues such as data loss, errors, and redundancy, it is often not the functionality that is lacking, but rather how it is utilized or the scalability when dealing with extremely large datasets that may pose challenges.