BusinessObjects vs SAS Visual Analytics

User reviews for BusinessObjects paint a picture of a powerful BI tool with both strengths and weaknesses. On the positive side, users praise its comprehensive features, enabling them to tackle complex data challenges. "It's like a Swiss Army knife for data analysis," one user says, "from basic reports to advanced modeling, it's got it all." This feature depth is often contrasted with simpler competitors, with users appreciating the ability to handle diverse needs without needing multiple tools. However, the learning curve can be steep, especially for non-technical users. "It's not exactly drag-and-drop for beginners," another user admits. This complexity can lead to frustration and require investment in training, which some users find less intuitive compared to competitors. Despite the learning hurdle, many users highlight BusinessObjects' scalability and integration capabilities as its main differentiators. "It seamlessly connects with our existing systems," one user notes, "saving us time and effort." This smooth integration is often lacking in competitors, making BusinessObjects a preferred choice for organizations with complex data ecosystems. Overall, user reviews suggest BusinessObjects is a powerful and versatile BI tool best suited for organizations with complex data needs and the resources to support its learning curve. Its comprehensive features and integration capabilities set it apart, making it a strong contender for those seeking a robust BI solution despite the initial investment required.

SAS Analytics is a versatile business intelligence and analytics tool that empowers users to explore and understand data through interactive data visualizations. Many users who reviewed data analysis said that, coupled with the power of predictive analytics, the platform offers a plethora of graphics options — charts, graphs and dashboards — with deep-dive capabilities, such as filtering, to zero in on pertinent business data. Many users who reviewed functionality and data preparation said that, possibly because of its capable ETL engine and in-memory architecture, data processing speed is very high and reports load faster. A majority of users who reviewed data connectivity said that the tool is efficient in pulling data from multiple sources for data modeling and analysis. On the flip side, quite a few users who reviewed functionality said that the platform’s integration with Python and R is still in the development stage and this limits its functional scope. Some users who discussed user-friendliness said that the processes are not the most intuitive — errors and warnings in logs are misleading, and new users may find adoption difficult. Though the industry scope of user tutorials is limited, a majority of users said that the steep learning curve of the platform is sufficiently addressed by training. For many users, its cost-prohibitive licensing plans caused them to not consider it their first choice when it came to purchasing a BI solution. Overall, SAS Visual Analytics is a versatile tool with fast data processing capabilities and strong visualizations to generate reports for insightful data analysis.