What I like most about Oracle Analytics Cloud is how easily it turns raw data into practical dashboards and reports. I mainly use it to analyze business data, track KPIs, and create visual reports for different teams.

The dashboards feel flexible, and the drag-and-drop interface makes it straightforward to explore data without having to write much code. I also appreciate the range of visualization options, since I can quickly adjust how the data is displayed depending on what I’m trying to understand.

Another strong point is its integration with the Oracle ecosystem. If you’re already working with Oracle databases or other Oracle applications, having the analytics platform in the same environment makes the overall workflow smoother.

I also find the self-service capabilities helpful for day-to-day work. I can explore data, build reports, and answer ad-hoc questions without always needing to rely on the technical team. Review collected by and hosted on G2.com.

The main area I would improve is the learning curve. The platform isn’t hard once you get used to it, but when you’re just starting out, some features and configuration options aren’t very obvious.

The interface can also feel a bit overwhelming, especially when you’re working with more advanced analytics or data modeling. At times, I have to go through several steps to accomplish something that feels like it should be more straightforward.

Performance can vary quite a lot depending on how the data is structured and modeled, particularly with large datasets. For basic dashboards this is usually fine, but more complex analysis may require additional optimization.

I’d also like to see clearer learning resources and more practical examples for some of the advanced features. There’s plenty of documentation, but tracking down the exact example you need can still take time. Review collected by and hosted on G2.com.

I like how quickly you can navigate to different functions within the ERP system. You can save queries which makes it easier and faster to complete tasks and view information. I like how customizable Oracle Analytics Cloud is and how much you can automate and integrate with other systems. Review collected by and hosted on G2.com.

Performance wise, it's not the best. It's slow compared to other ERP systems used in the past but it does the job. Support from Oracle team takes time and fixes don't always work the first time. Review collected by and hosted on G2.com.

What I like best about Oracle Analytics Cloud is its seamless integration within the Oracle ecosystem and its ability to efficiently manage large-scale data. The platform provides robust self-service analytics tools that make creating interactive dashboards and advanced visualizations effortless. It’s intuitive, supports third-party integrations smoothly, and ensures scalability and enterprise-grade security for all analytics needs. Review collected by and hosted on G2.com.

The initial setup and configuration can be complex, especially for new users. Some advanced features come with a steep learning curve, and optimizing performance for extremely large datasets can be challenging without proper tuning Review collected by and hosted on G2.com.

I like Oracle Analytics Cloud because of its strong data visualization and easy self-service reporting.

It connects well with Oracle and non-oracle users making analysis faster and flexible for business users with less technical efforts. Review collected by and hosted on G2.com.

The only thing I dislike about Oracle Analytics Cloud high learning curve for the new users. Almost rarely fells slowness with th huge size of data sets and the customization option are too little to as compared to other existing analyics cloud. Review collected by and hosted on G2.com.

For me, something that caught my attention is how easy and quick it is to prepare and visualize data. Its multiple and simple queries allow reports to be prepared with little data while the report is being created, enabling better implementation. It is a very intuitive application that, compared to its competitors, offers us a wide variety of tools and ways to visualize data. Review collected by and hosted on G2.com.

Like everything good in the world, it is expensive, and since it is a tool that comes bundled with multiple necessary tools from the Oracle cloud, the cost is usually very high. Its interface can be modified and modernized. Although it does a good job of visualizing and transforming data, user interaction should be more presentable and user-friendly. Review collected by and hosted on G2.com.

Since I started using Oracle Analytics Cloud in my company, my perception of data management and decision-making has completely changed. What I like most about this platform is its intuitive and accessible interface, which allows everyone in the organization, regardless of their technical level, to easily explore and analyze data. This has made it easier for different departments to gain valuable insights without always depending on the IT team. Another feature I highly value is the variety of visualizations and reports that can be created, which makes the presentation of information clear and attractive. Additionally, the integration with other Oracle tools and external systems has been very seamless, helping us consolidate disparate data in one place. Review collected by and hosted on G2.com.

On the other hand, I've sometimes felt that the learning curve can be a bit steep at first, but with proper training, everything becomes much simpler. What has helped me most is the ability to quickly detect problems or trends in the data, which has allowed us to act more quickly and effectively. Review collected by and hosted on G2.com.

The best thing to like about OAC is that it combines all data preparation, visualization, predictive analysis and reporting under one unified production environment which reduces the usage of multiple tools and promotes multi-tasking under one tool. Also it supports an extensive range of data sources likely flat files, SaaS apps, files stored in cloud vaults and on-premises data. Review collected by and hosted on G2.com.

OAC is an expensive tool to begin with, especially for small scale businesses as compared to its competition namely Power BI & Tableau. OAC has its own community ecosystem but compared to Power BI & Tableau, OAC's ecosystem is smaller and restricted to certain things. User interface can be improved but as of now it looks less modern. Review collected by and hosted on G2.com.

Oracle Analytics Cloud provides business intelligence and cloud services that help users explore data and perform analytics based on their organisation’s needs. It also supports collaborative analysis in parallel, making it easier for teams to work together while exploring and sharing analytics. Review collected by and hosted on G2.com.

The user interface could be improved. While Oracle Analytics Cloud offers extensive customisation options, organisations with highly specialised requirements may encounter limitations when tailoring the platform to their specific needs. Review collected by and hosted on G2.com.

I still appreciate it as much as the very first day of use. Review collected by and hosted on G2.com.

No bad points to report for now. Review collected by and hosted on G2.com.

Oracle Analytics Cloud is a full stack solution it includes data preparation, data visualization, reporting and embedded machine learning.. It ntegartes seamlessly with Oracle databases. It includes Explain, Auto Insights and Natural Language Processing features that help non technical users get meaningful insights quickly. Users can build dashboards, explore data, and share insights with little to no IT involvement. Review collected by and hosted on G2.com.

It is complex to learn for new users. Performance often depends on how well one's data is modeled and where it lives. Compared to Tableau or Power BI, OAC has a smaller community and fewer third party tutorials, forums or user-driven content. The pricing becomes expensive if you add storage, OCPU usage. Review collected by and hosted on G2.com.