In which process is data searched, gathered, and presented in a report-based, summarized format to achieve specific objectives or processes?

Data aggregation is the process of collecting and summarizing information from various sources to organize it in a meaningful way to achieve specific objectives. This process involves searching through multiple datasets, gathering relevant data, and then compiling it into a report that highlights patterns, trends, or insights.

In logistics planning, for example, data aggregation is critical as it allows decision-makers to understand key performance metrics from different segments of the supply chain. By aggregating data, it becomes easier to visualize large volumes of information in an accessible format, facilitating informed decisions based on the summarized insights presented in the report. This can include operational efficiencies, inventory levels, or cost analyses necessary for effective logistics management.

The other options focus on different aspects of data handling and reporting. Information distribution pertains to sharing already analyzed information rather than compiling and summarizing data. Data analysis involves deeper examination and interpretation of data, which goes beyond mere aggregation. Reporting review typically refers to evaluating existing reports rather than the creation of the summarized content itself. Thus, data aggregation stands out as the process that directly encapsulates the act of searching, gathering, and presenting data in a summarized format.