SAP BusinessObjects Business Intelligence Platform vs SAS Visual Analytics comparison

SAP BusinessObjects Business Intelligence Platform is a versatile and flexible solution for reporting and dashboards, focusing on analytics and ad hoc reporting. It can be deployed on-premise or in the cloud. The solution includes tools such as Web Intelligence, Crystal Reports, SAP Lumira, and Analytical Cloud and is primarily used for comprehensive business intelligence reporting.

The most valuable features include excellent reporting features, good technical support, scalability, and the ability to translate database data into business language. The solution has helped organizations by providing analytics, monitoring KPIs, and making important decisions as a financial business.

SAP BusinessObjects Business Intelligence Key Features

• Central management: Access all your BI from a single, central launchpad that can be customized to meet user-specific needs. The launchpad provides business users with access to all their BI tools, reports, notifications, and applications in a single place. This includes the ability to launch SAP Analytics Cloud.
  
  
• Data visualization and analytics: Create powerful visualizations, dashboards, and applications to assess risk, improve efficiency, identify opportunities, and enable users to analyze developments and data. Business insights can be shared with colleagues across enterprises.
  
  
• Integration with Microsoft Office: Integrate with SAP Business Warehouse and SAP HANA to power real-time analytics. For large-scale data analysis, you can integrate with Microsoft Excel to discover in-depth business insights and forecasts. Data analytics information can also be embedded into Microsoft PowerPoint presentations.
  
  
• Cloud support: Extend and expand your BI on the cloud. SAP Analytics Cloud connects your BI to the cloud and offers enterprise planning and advanced analytics from a single online solution.

Reviews from Real Users

SAP BusinessObjects BI stands out among its competitors for a number of reasons. Several major ones are its user-friendly dashboard, its impressive reporting and analytic features, and its ability to integrate with multiple solutions.

A managing partner at a tech services company writes, "One of the most valuable features of SAP BusinessObjects is that it's not a dashboarding solution. It's a real product. You can create operational reports and publish it to anyone. You can create schedules. You can create a Universe, semantic layers. There's also a security configuration. It's a huge product, so if there is a business need, SAP BusinessObjects can cover it."

An associate manager at a consultancy notes, "It provides flexibility for creating reports. It is very good for creating highly complex reports. I like this solution because when I buy BusinessObjects, it comes with many components, such as reporting, dashboard, and data visualization tools. Its performance is good. It is running on top of SAP BW and SAP HANA."

A manager of data analytics and interfaces at a healthcare company says, "It has got great flexibility. As a reporting tool, it has a great deal of flexibility for numerous data resources that you can bring into it. It allows you to write your SQL query directly within the product. It has great visualization. 

SAS Visual Analytics is a data visualization tool that is used for reporting, data exploration, and analytics. The solution enables users - even those without advanced analytical skills - to understand and examine patterns, trends, and relationships in data. SAS Visual Analytics makes it easy to create and share reports and dashboards that monitor business performance. By using the solution, users can handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. SAS Visual Analytics is most suitable for larger companies with complex needs.

SAS Visual Analytics Features

SAS Visual Analytics has many valuable key features. Some of the most useful ones include:

• Data
• Interactive data discovery
• Augmented analytics
• Chat-enabled analytics
• Sharing and collaboration
• Visual analytics apps
• Embedded insights
• Location analytics
• Security and administration
• In-memory engine

SAS Visual Analytics Benefits

There are many benefits to implementing SAS Visual Analytics. Some of the biggest advantages the solution offers include:

• Machine learning and natural language: SAS Visual Analytics uses machine learning and natural language explanations to find, visualize, and narrate stories and insights that are easy to understand and explain. This enables you to find out why something happened, examine all options, and uncover opportunities hidden deep in your data.

• Easy and efficient reporting: With SAS Visual Analytics, you can create interactive reports and dashboards so you can quickly summarize key performance metrics and share them via the web and mobile devices.

• Easy to use: SAS Visual Analytics was designed to be easy to use. Its easy-to-use predictive analytics enables even business analysts to assess possible outcomes, which also helps organizations make smarter, data-driven decisions.

• Self-service data: Self-service data preparation gives users the ability to import their own data, join tables, create calculated columns, apply data quality functions, and more. In turn, the solution empowers users to access, combine, clean, and prepare their own data in an agile way, which helps facilitate faster, broader adoption of analytics for your entire organization.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the SAS Visual Analytics solution.

A Senior Manager at a consultancy says, “The solution is very stable. The scalability is good. The usability is quite good. It's quite easy to learn and to progress with SAS from an end-user perspective.

PeerSpot user Robert H., Co-owner at Hecht und Heck GmbH, comments, “What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes.

Andrea D., Chief Technical Officer at Value Partners, explains, “The best feature is that SAS is not a single BI tool. Rather, it is part of an ecosystem of tools, such as tools that help a user to develop artificial intelligence, algorithms, and so on. SAS is an ecosystem. It's an ecosystem of products. We've found the product to be stable and reliable. The scalability is good.”