What is one of the major sharing inheritance limitations in analytics?

One of the major limitations in analytics regarding sharing inheritance is that sharing settings can only be inherited from a single object in a dataset. This means that when you establish sharing rules, they are dictated by a specific parent object and cannot be derived from multiple sources. In practice, this limitation simplifies the management of access controls but also restricts flexibility, as users cannot create complex sharing hierarchies that might be necessary for more nuanced data governance. By having a single point of origin for sharing settings, it ensures clarity and a straightforward application of permissions, though it can be a hindrance in scenarios where intricate data relationships exist across multiple objects.

This principle contrasts with situations where more complex inheritance could facilitate a more tailored approach to data sharing. For instance, if users could inherit from multiple objects, it might allow for a richer set of access permissions, but it could also create confusion about which policies apply in different circumstances. Therefore, the restriction to a single object maintains a balance between manageability and usability in the analytics environment.