What does the 'Data Preparation' feature in OAC primarily assist users with?

The 'Data Preparation' feature in OAC is designed to assist users in cleaning, transforming, and organizing data for analysis. This functionality is crucial in ensuring that the data used for analytics is accurate, consistent, and ready for further processing. Data preparation involves activities such as removing duplicates, handling missing values, and reshaping data formats so that they can be effectively analyzed.

By enabling users to carry out these tasks, OAC allows for smoother and more insightful analysis because the resulting datasets are optimized for querying and reporting. When data is properly prepared, it not only enhances the quality of insights derived from it but also leads to more reliable decision-making based on that analysis. The focus on transformation and organization is particularly significant, as improperly formatted or messy data can lead to misleading conclusions.

The other options do not encapsulate the purpose of the 'Data Preparation' feature in the same way. Creating reports, storing datasets, and sharing data with other applications are important functions, but they relate more to the presentation and accessibility of data rather than its initial preparation for analysis.