Final answer:
The phase in question is Data Mining, which is used to uncover patterns and correlations within large datasets through algorithmic processes.
Step-by-step explanation:
The phase that deals with pattern matching in large amounts of data is called Data Mining. Data mining involves exploring and analyzing large blocks of information to glean meaningful patterns and trends. It goes beyond the analysis phase to discover hidden patterns, correlations, and insights through sophisticated algorithmic processes. This is fundamentally different from Data Analysis, which is more about interpreting data and extracting actionable insights in a more direct manner. Data Visualization is the graphical representation of information, while Data Cleansing involves removing inaccuracies and inconsistencies to improve data quality.