We performed a comparison between IBM Planning Analytics and Oracle Analytics Cloud based on real PeerSpot user reviews.
Find out what your peers are saying about Anaplan, Oracle, Jedox and others in Business Performance Management."A lot of the platform is in-memory, so Planning Analytics can run calculations quite fast. It also offers several user interfaces. And in the newest version of Planning Analytics, there is a new one called the Planning Analytics Workspace. Maybe it could be useful for the business side."
"The flexibility of IBM Planning Analytics is a great feature of this solution. The design flexibility with data rules and defining calculations The ability to combine online and offline calculations are a benefit. Additionally, the forecasting features and predictive analytics is very good."
"The most valuable feature is that it is able to slice and dice the data."
"Planning Analytics' best features include automatic updates and slicing."
"The tool is flexible."
"Navigating through the data to make analysis is really quick."
"The product's stability is good."
"It's a very stable, robust product."
"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."
"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 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."
"It has the best feature for data augmentation."
"This is a stable and scalable solution."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The ability to quickly search for and access relevant data is crucial."
"The technical support services are good."
"The dashboard is very poor and needs a lot of improvement."
"Adding predefined templates could be beneficial."
"It would have been better if the solution was not just a tool kit."
"The tool's transport layer could be improved when promoting development between environments."
"The new frontend Planning Analytics Workspace is not very good, it could be improved. I like the Planning Analytics functionality but it would be helpful if it could be more customizable. You can create a prediction and receive information but you cannot do feature engineering regarding the predictive models. If this was added it would be helpful."
"Extracting data is a little slow."
"It's wonky, and not super user-friendly with Excel."
"Planning Analytics could be improved by adding automation features."
"When you implement the product on a small scale, it doesn't generate any ROI."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"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."
"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."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"They could improve the ease of developing the dashboard and interacting with it."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"Its FAW feature has limitations in terms of usage."
IBM Planning Analytics is ranked 5th in Business Performance Management with 22 reviews while Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews. IBM Planning Analytics is rated 8.6, while Oracle Analytics Cloud is rated 8.0. The top reviewer of IBM Planning Analytics writes "Can easily create dashboards and helps businesses improve forecasting accuracy". On the other hand, the top reviewer of Oracle Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". IBM Planning Analytics is most compared with SAP Analytics Cloud, Microsoft Power BI, Anaplan, Jedox and IBM Cognos, whereas Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Oracle Business Intelligence Cloud Service.
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