What is a primary objective of using self-service analytics?

The primary objective of using self-service analytics is to enable users to generate insights independently. This approach empowers business users, analysts, and decision-makers to access, analyze, and visualize data without having to rely heavily on IT teams for reporting or data preparation. Self-service analytics fosters a more agile and responsive decision-making environment by allowing users to explore data as needed, leading to faster insights and the ability to dive deeper into data trends without delays.

By facilitating direct access to data and tools, self-service analytics enhances user engagement with data and encourages a culture of data-driven decision-making across the organization. This autonomy is crucial in today’s fast-paced business landscape, where timely and informed decisions can significantly impact success.

In contrast, the other options focus on limiting access or creating dependency, which runs counter to the goal of fostering independent insight generation among users.