To gain insights from a data warehouse using Einstein Analytics, what is the primary requirement?

The primary requirement to gain insights from a data warehouse using Einstein Analytics is the daily automatic data loading into a Tableau CRM dataset. This continuous data flow ensures that the insights derived from the analytics are based on the most current and relevant data.

Utilizing automatic data loading on a daily basis helps maintain the freshness of the data, allowing users to analyze trends, performance metrics, and other critical business indicators in real-time or near real-time. It supports timely decision-making and operational responsiveness, which are crucial in today's fast-paced business environment. By automating this process, organizations can reduce the manual overhead associated with data management, eliminate potential errors in data transfers, and ensure that analysts and stakeholders have access to up-to-date information for their analyses.

In contrast, options that pertain to manual data uploads, weekly reports, or restricting data to a single source do not align with the capabilities and best practices of leveraging a robust analytics platform like Einstein Analytics for maximum insight and effectiveness.