What term describes massive quantities of data that cannot be easily translated into actionable intelligence using traditional methods?

The term that describes massive quantities of data that cannot be easily translated into actionable intelligence using traditional methods is "big data." Big data refers to data sets that are so large and complex that they require advanced tools and techniques for processing and analysis beyond what traditional data processing applications can offer. This includes data that is not only large in volume but also diverse in variety (structured and unstructured), and high in velocity (rapidly generated).

Big data often requires specialized technologies for storage, processing, and analysis, such as distributed computing frameworks (like Hadoop or Spark) and machine learning algorithms. These technologies enable organizations to extract valuable insights from data that might otherwise remain untapped if analyzed with conventional methods.

In contrast, batch data typically refers to data that is collected and processed in groups at a specific time, which can usually be handled with traditional techniques. Little data is a term that captures smaller, structured datasets that can be easily analyzed with standard methods. Real-time data involves information that is delivered immediately after collection and requires instant analysis, which can still be managed with traditional data systems, although it may also benefit from advanced tools for better responsiveness.