It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need. The data modeler, which is cloud-based, simply does its job well, but it just doesn't have as many fine-tuning capabilities. It does not allow as much performance tuning as the Oracle BI Developer Client Tool, which is the closest thing to the older OBIEE Administration Tool.

Numerous improvements are needed in data extraction, particularly in enhancing connectivity models for enterprise and mission-critical applications that rely on multiple databases. It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases. Also, it should take an active role in educating users, making data processing and integration more accessible to a wider audience that would enable organizations to harness the full potential of their data without grappling with complex connectivity and data modeling processes.

The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes.

It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions.

The platform's FAW feature has limitations in terms of usage. We can only use it if implementation access to the fusion application exists.

The cost factor needs to be improved. When you want to scale up and improve the computing power, it becomes extremely costly. 

They could improve the ease of developing the dashboard and interacting with it.

They can also improve, quite critically, the user interface. It's not as intuitive as Qlik Sense.

There should be improvements in Auto ML, automated machine learning, and, if possible, even robotics process automation.

The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing.

One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now.

The CLEAR report has room for improvement. 

The AI features can be improved.

I would like to have extra visualization such as geographical, more advanced org charts, and interactive charts and dashboards.

The scalability has room for improvement.

This product does not support custom charts in the visualization.

At this time, dataflows cannot be shared, but I think that this should be enhanced.

There are a couple of other limitations. For example, many reporting tools offer good features and oracle should learn from that.

There should be tool tech enhancements.

The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace. 

The user interaction with the solution could be better. It can be frustrating at times. Sometimes it depends on the database performance. When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud.

Oracle needs to improve scheduling processes, especially the way Oracle defines global-level formatting. The improvements in the solution would also include the integration of data visualization since all the new visualizations are only visible with the DV Cloud. Since it is very difficult, you cannot use the new visualizations on the older historical data, like the answers and all that stuff. The aforementioned details can be considered for improvements.

Its machine learning and visualization capabilities can be improved. There should be more visualization options.

As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice.

Sharing dataflows is not possible at this time, and the custom chart functionality is not available. 

I would like to see making abbreviations as per the user's needs.

The learning curve should be improved, and I'm uncertain if tutorials are readily available or easily accessible. We may have resorted to looking on YouTube for such information. Having easily understandable documents or guides for new users would be beneficial. Quick references like these would encourage more users to explore and utilize the features effectively. AI integration would be an interesting feature to add in the next release.

It is expensive so the cost could be better.

Oracle Analytics Cloud is lacking in charts. They should add more charts to it.

This solution could be more adaptable in its application. 

The solution could be more flexible. I faced issues with user level security administration and maintaining variables. 

The price of the solution could be lower. 

The dashboards should be more interactive. 

The interfaces could be improved and some in-memory operations could be built into Oracle Analytics. We try to supply those kinds of things using database capabilities. Oracle removed things like cookies in its integration and that caused problems with SSL. I sent the reporting EDS which required a lot of work. It was more integrated with EDS, but now it's more standalone and it bothers me because it requires additional work when customers want to upgrade. Previously, that wasn't necessary so I think those kinds of things can be improved.