What are the three most common issues faced while using Brainspace?

The option highlighting connector issues, dataset creation issues, and application unavailable issues accurately reflects the common challenges users encounter while utilizing Brainspace. Each of these issues can have a significant impact on the overall functionality and user experience of the software.

Connector issues might arise when attempting to integrate Brainspace with various data sources or when there are disruptions in the data flow. These connectors are essential for ensuring that the data coming into the platform is both accurate and timely, which is critical for effective analysis and insights.

Dataset creation issues typically involve difficulties in compiling and configuring the necessary datasets for analysis. This process can be complex, requiring an in-depth understanding of data structuring, and any challenges during this phase can hinder the ability to generate meaningful reports or insights.

Application unavailable issues pertain to situations when users cannot access Brainspace due to technical problems, server downtime, or maintenance activities. These interruptions can prevent users from conducting essential analyses and can disrupt workflows.

In summary, the combination of these three issues – connector issues, dataset creation challenges, and application availability problems – represents realistic hurdles that users may face while working within the Brainspace environment, making this answer particularly relevant in capturing the most common struggles associated with the software.