OLAP is primarily concerned with which aspect of data processing?

OLAP, or Online Analytical Processing, focuses on enabling data analysis, allowing users to consolidate, analyze, and report on data effectively. This technology is crucial for developing business intelligence, as it provides insightful and multidimensional data analysis capabilities that support decision-making processes.

In a business context, OLAP allows for the exploration of data from various perspectives, making it easier to identify trends, patterns, and correlations that are critical for informed strategic decisions. This aligns seamlessly with the goal of transforming raw data into actionable insights, making it a key tool for business intelligence initiatives.

While daily transaction processing, real-time data collection, and storing customer records are important components of data management and processing, they do not emphasize the analytical capabilities and decision support that OLAP inherently provides. Instead, they serve more operational aspects of data handling rather than the analytical focus that characterizes OLAP.