How is Big Data typically characterized?

Big Data is typically characterized by extremely large data sets that can reveal patterns and trends, which is why this choice is the most accurate. The term "Big Data" refers to data that is so voluminous and complex that traditional data processing software cannot manage it. The vast scale of Big Data allows organizations to gather insights that would be impossible to derive from smaller, conventional data sets.

In the context of business intelligence, analyzing these large volumes of data enables organizations to identify correlations, trends, and anomalies that can inform decision-making and strategy. The use of advanced analytics tools and machine learning algorithms on Big Data can uncover valuable insights across various industries, leading to improvements in operations, customer experiences, and overall business performance.

The other choices present characteristics that do not align with the established definition of Big Data. The notion of small, manageable data sets contradicts the very essence of Big Data. Its application is not restricted to financial analysis, nor is it limited to data maintained solely in spreadsheets, as Big Data encompasses a wide range of data types and sources beyond those mediums.