What type of data does the Acquisition phase deal with?

The Acquisition phase is focused primarily on gathering raw and unprocessed data. This phase is crucial because it involves collecting data from various sources in its most original form, without any alterations or transformations. This raw data provides the foundation for subsequent phases where processing and analysis occur.

In this context, focusing on raw data enables analysts to ensure that they have a complete and accurate representation of the information available, which is essential for maintaining data integrity. It facilitates flexibility in how the data can later be processed and analyzed, accommodating various analytical needs. Capturing data in its unprocessed state ensures that no information is lost due to prior handling or summarization.

The other choices represent data that has already undergone some form of processing or standardization. Processed and summarized data would not reflect the original state of the data, which can alter its meaning or context. Similarly, standardized data focuses on uniformity and consistency across datasets, while accessible data for analysis suggests a finished product ready for analytical tasks, which diverges from the initial objective of the Acquisition phase.