What is the primary goal of data mining?

The primary goal of data mining is to analyze data for undiscovered relationships, which is why this choice is the correct answer. Data mining involves examining large datasets to identify patterns, trends, and correlations that may not be immediately apparent. This process can lead to valuable insights that can drive decision-making in various fields, from marketing to healthcare to finance. By uncovering hidden relationships within the data, organizations can leverage this information to enhance their strategies, improve customer experiences, or streamline operations.

Other options focus on specific aspects of data management that are important but are not the core goal of data mining itself. For instance, while preventing data loss and ensuring data integrity are crucial for maintaining data quality, they do not constitute the analytical aspect that data mining embodies. Likewise, improving data storage solutions is vital for managing data effectively but does not directly relate to discovering new insights from existing data. Thus, the correct answer reflects the essence of data mining as a process focused on analysis and discovery rather than the maintenance or management of data.