The main functionality is great and everything is pretty standard and easy to use. 

It's great for consolidation and creating one source of truth. 

The initial setup is pretty straightforward. 

It's rather user-friendly.

The solution can scale.

The stability is good.

It's easy to set up.

It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to.

It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. 

It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use.

We use Analytics because we have a model for it which can be easily customized. Implementation time can be reduced because of this. 

From a financial or bank perspective, this product is secure enough.

The dashboards, analytics, visualizations, and different reports are valuable for business analytics.

The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code.

The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports.

Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us.

For HR, Analytics Cloud is the most viable solution.

The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization.

A valuable feature is the speed of the solution.