We performed a comparison between IBM Cognos and Oracle Analytics Cloud based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."When it comes to decision-making, the product is very useful and used in many departments since a lot of people prefer the reports to be generated by IBM Cognos."
"The most valuable feature of IBM Cognos is security. The solution has updated features that other competitors' solutions come out with long after IBM Cognos has had them."
"Even while a user is using a cube for reporting, there will not be a situation as ' Cube file locked; unable to build or deploy'."
"The initial setup is quite straightforward."
"The main difference that I like about Cognos compared to other solutions is its data splitting functionality. We have all our company data inside the Cognos environment and so we prefer to split the information Cognos itself. It's more efficient this way."
"Mapbox integration for geospatial analytics down to longitude/latitude layers."
"Self-service is possible through the use of dashboards, which are also very intuitive. Stories can be used to pin snapshots, tell the story for meetings, etc."
"Report Studio: This is the most powerful and sophisticated tool for professional reporting."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"A valuable feature is the speed of the solution."
"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."
"The ability to quickly search for and access relevant data is crucial."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"The most valuable features of the solution are dashboarding and data visualization."
"It has the best feature for data augmentation."
"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."
"We need more predictive analytical functions, not only diagnostic or decryptic analytics."
"IBM Cognos's error messages seem to be a bit ambiguous. An error will be encountered and a message will be sent out very ambiguous and after investigating the error message it could be any number of issues. There was never a direct answer to the question or a direct answer to the error messages. Sometimes it would be a generic error message for 21 different solutions. It wasn't very specific, which required a lot of digging around and trial and error trying to fix the problem. The messaging in their error messaging is something needing improvement."
"The visualization aspect needs to be improved and I believe, this is being resolved in upcoming versions."
"There are some small features that are missing. It would be nice if the graphics were better. You can use external sources for charts, but it's quite complex to use and not easy to implement. If you want a new chart, you can download it from multiple tools and implement it into IBM Cognos."
"Tableau and Power BI are faster than Cognos."
"Data modeling needs to be improved. We use the ETL process, and when we get errors, we then need to identify which structural change is required. The error messaging should be better. They should be descriptive rather than semantic."
"The high cost of a license makes it hard to scale up on a budget."
"I would like to have predictive and forecasting capabilities in Cognos. It's one thing to do reporting, and another thing to easily predict or forecast certain data points, which is very important for all the clients."
"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 is less scalable than Snowflake."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"The scalability has room for improvement."
"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."
"When you implement the product on a small scale, it doesn't generate any ROI."
"Its FAW feature has limitations in terms of usage."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
IBM Cognos is ranked 7th in BI (Business Intelligence) Tools with 132 reviews while Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews. IBM Cognos is rated 8.0, while Oracle Analytics Cloud is rated 8.0. The top reviewer of IBM Cognos writes "Improved the quality of our KPIs, while reducing calls to the IT department". 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 Cognos is most compared with Microsoft Power BI, Oracle OBIEE, Tableau, SAP BusinessObjects Business Intelligence Platform and Oracle Hyperion, whereas Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Amazon QuickSight. See our IBM Cognos vs. Oracle Analytics Cloud report.
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