Oracle Analytics Cloud is not very user-friendly, however, it is robust and capable of performing a wide range of tasks. However, skilled personnel are needed to operate it effectively due to its complexity. In addition, the brand name carries significant value as many large companies and banks are familiar with Oracle.

I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial.

The stability of the product itself by virtue of the fact that it's a cloud product and Oracle is responsible for its hosting is valuable. There is no question about its uptime, reliability, and so forth. 

It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce.

The main advantage of Oracle Analytics Cloud is that it can be run from anywhere without any hardware integrations. The solution operates very fast. The advanced calculations by the tool are highly effective in revealing data insights and ETL updates. The aforementioned feature is more advantageous for Supply Chain Management modules. 

Oracle Analytics Cloud provides excellent security to the customers of our organization. 

It offers features such as training models, predictive analysis, and various reports, which are instrumental in aiding organizations in making timely and data-driven decisions to drive business growth. This analytics resource is invaluable for large enterprises and can seamlessly integrate with various aspects of an organization's operations.

The most valuable features of the solution are dashboarding and data visualization.

The product's most beneficial feature is the ease of use for data analysis.

Oracle Analytics Cloud's most valuable feature is its visualization. 

The solution is user-friendly.

It's rather user-friendly.

The solution can scale.

The stability is good.

It's easy to set up.

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. 

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

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.

Analytics Cloud allows you to merge various data types and structure data from multiple sources.

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 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.

A valuable feature is the speed of the solution.

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

The features that we find most valuable are:

• Amazing interface, which is user-friendly and ultra fast.
• ExplAIn function, which is an AI feature that allows you to create dashboards automatically.
• The best feature may be data flow, which is used to prepare and clean data.
• Mobile/NLP allows us to create a quick report without knowing how to use the tool.
• The fact you can connect to multiple data sources and create a dashboard that is sourced by all of them, in five minutes!

The most valuable features are: 

- Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly.

- Machine Learning is very easy to use and offer great insights to predict the spends.

- Search using NLP is also a gem it allows for quick data access without building a query.

- The Explain feature is impressive; you can create an entire dashboard in one minute without being a business analyst.

It's valuable feature is that it is user-friendly and doesn't require much time for understanding.

The product has all the essential features.