

SAS Visual Analytics and Pyramid Analytics are both analytics tools competing in the business intelligence category. Based on feature comparison, SAS Visual Analytics seems to have the upper hand due to its robust data management and visualization capabilities, while Pyramid Analytics offers standout features in self-service and data exploration.
Features: SAS Visual Analytics provides robust statistical tools, easy report generation, and extensive data integration support, which enhance its data handling capabilities. It also offers excellent visualization tools that allow non-technical users to extract insights effectively. Pyramid Analytics offers advanced features for data manipulation, powerful DAX support, and the ability to customize visuals, making it especially useful for complex data analyses. Its prediction and forecasting functions also add significant value for business intelligence applications.
Room for Improvement: SAS Visual Analytics is costly and complex, often challenging for installation and integration, especially for users without advanced technical skills. Its user interface has a steep learning curve. Pyramid Analytics, while versatile, faces challenges with usability due to less intuitive user interface and lacks robust training resources, making onboarding difficult. Its data refresh speed needs enhancement, along with better support for reporting formats.
Ease of Deployment and Customer Service: SAS Visual Analytics typically requires on-premises deployment but supports hybrid cloud configurations. User experiences with customer service vary, with some citing responsive support and others facing inconsistency, especially in regions with outsourced services. Pyramid Analytics offers more deployment flexibility with both on-premises and hybrid cloud options. Its customer service is reliable with quick, effective responses, although the platform's complexity can slow issue resolution. The streamlined deployment process in Pyramid Analytics offers greater adaptability for diverse business needs.
Pricing and ROI: SAS Visual Analytics is positioned as a premium product with extensive capabilities that justify its pricing but is often prohibitive for smaller businesses. Its cost significantly depends on data scale and additional component needs, making it potentially expensive long-term. Pyramid Analytics is competitively priced, perceived as cost-effective for larger companies, and aligns well with mid-to-large businesses, providing noteworthy ROI through effective analytics and business intelligence without substantial financial strain.
There is a positive return on the data investment for my clients using Pyramid Analytics.
Because we selected Pyramid Analytics for our product and we are not going to throw out all the work I previously did, we just go with Pyramid Analytics for the product.
The enterprise subscription offers more benefits, ensuring valuable outcomes.
They always answer quite promptly.
The one time we had an issue related to something with the logins, they addressed it that morning.
They provide callbacks to ensure clarity and resolution of any queries.
Regarding Pyramid Analytics' scalability from what I have seen, with the right people managing it, it can handle growing amounts of data and users well.
The whole process takes time with Pyramid Analytics.
Pyramid Analytics is stable in my experience; there have not really been issues with downtime or bugs.
SAS Visual Analytics is stable and manages data effectively without crashing.
It's just a logic you need to learn. It's not as intuitive as in Microsoft, for example.
Any advanced user wants to implement an idea that they have, and while the whole idea of a platform is not necessarily to give a custom solution, I would not mind if they had more in terms of AutoML or that sort of capability.
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
It's not more expensive than all our other BI tools regarding Pyramid Analytics.
After implementing Pyramid Analytics for my clients, I have seen measurable outcomes and specific improvements, such as having a single platform that gets them from the raw data to the endpoint reporting.
I wish it would be more friendly to a developer, not only just to an end customer.
In terms of reporting, it is easy to extract quick reports and provides graphical representations of the data, which is a great feature.
| Product | Mindshare (%) |
|---|---|
| SAS Visual Analytics | 1.7% |
| Pyramid Analytics | 1.6% |
| Other | 96.7% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 3 |
| Large Enterprise | 1 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 19 |
Pyramid Analytics provides comprehensive BI reporting, data visualization, and analytics capabilities, integrating with systems like SAP and MSAS for enhanced data-driven decision-making across multiple industries.
Pyramid Analytics is a robust platform offering advanced data model capabilities, drill-down reports, and extensive connectors. With support for DAX queries and a range of AI functionalities, it empowers finance departments to analyze data and provide real-time insights for executives. Despite challenges such as non-intuitive visuals and data management difficulties, it remains a versatile tool for enterprise projects, enabling detailed report development, dashboard creation, and self-service analytics.
What are the key features of Pyramid Analytics?Pyramid Analytics is widely implemented across industries such as finance for detailed data analysis and contact center reporting. It supports enterprise projects by enabling user-friendly data exploration that facilitates comprehensive decision-making. With its integration capabilities, it helps organizations leverage existing systems for better analytics outcomes.
SAS Visual Analytics offers rapid data processing and advanced forecasting with interactive reporting and visualization. It integrates with diverse data sources, enhancing scalability and automation, enabling data-driven decisions and extensive insight generation.
SAS Visual Analytics provides comprehensive data handling through its advanced reporting and visualization features. Businesses benefit from its ability to process data quickly and deliver insights via interactive dashboards and well-structured reports. Although it faces performance challenges with large datasets and has a complex installation process, it supports both cloud and on-premises deployments. Users can leverage its capabilities in data extraction, transformation, and loading, making it a valuable tool for finance, statistical analysis, and enterprise reporting. Despite some gaps in machine learning and integration with newer data stores, its scalability and flexibility in data management remain key advantages.
What are the most significant features of SAS Visual Analytics?SAS Visual Analytics is implemented across sectors such as insurance and education for tasks like building dashboards and performing business intelligence. It is extensively used in finance and statistical analysis, turning complex data sets into actionable insights, supporting both cloud and on-premises environments.
We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.