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 most valuable feature is that it is able to slice and dice the data."
"The most valuable features of IBM Planning Analytics for streamlining planning processes include a unified database where all data are centralized."
"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 product's stability is good."
"All the different platforms are well integrated."
"Navigating through the data to make analysis is really quick."
"Planning Analytics' best features include automatic updates and slicing."
"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."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"It's great for consolidation and creating one source of truth."
"The solution is user-friendly."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The product is easily customized."
"The advanced calculations by the tool are highly effective"
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"It would have been better if the solution was not just a tool kit."
"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."
"The tool should include features for prediction. It can also improve the scalability."
"The tool's transport layer could be improved when promoting development between environments."
"It's highly competitive right now, and all the vendors are in a race to put out new versions with additional features. IBM comes out with new versions too often, and it has an impact on quality."
"It's wonky, and not super user-friendly with Excel."
"It is a bit expensive, but it does the job."
"Planning Analytics could be improved by adding automation features."
"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. AI integration would be an interesting feature to add in the next release."
"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."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"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."
"The scalability has room for improvement."
"It is less scalable than Snowflake."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
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 25 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, Microsoft Power BI, Tableau and Oracle Business Intelligence Cloud Service.
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