

SAS Visual Analytics and Adaptive Insights compete in data analysis and business planning. While SAS Visual Analytics is noted for its comprehensive analytics and visualization, Adaptive Insights has the edge in financial planning and integration capabilities.
Features: SAS Visual Analytics provides advanced data handling, data manipulation tools, and flexible visualization options, making it easy to generate reports and forecast data. Adaptive Insights offers financial planning tools, drag-and-drop report creation, and seamless integration with various ERP systems, allowing for effective budget planning and forecasting.
Room for Improvement: SAS Visual Analytics could benefit from simplifying its setup process to reduce complexity and enhance user accessibility. It may also improve in offering better integration with non-SAS systems and expanding customer support resources. Adaptive Insights might focus on enhancing its customization options for non-financial reports, improving its dashboard capabilities, and providing more advanced analytics features to complement its planning strengths.
Ease of Deployment and Customer Service: SAS Visual Analytics involves a more complex setup but offers strong integration support and reliable technical assistance. Adaptive Insights, with its cloud-based model, facilitates easier deployment and delivers attentive customer support, which is beneficial for organizations with constrained IT resources.
Pricing and ROI: SAS Visual Analytics has a higher initial setup cost due to its extensive analytics features but promises significant ROI for businesses invested in data analysis. Adaptive Insights, offering cost-effective pricing, ensures quicker payback by focusing on financial management, presenting a solid value proposition considering its financial benefits versus initial costs.
I have seen a return on investment with SAS Visual Analytics, as it includes AI capabilities and automatic functions with scheduling, allowing reports to be made from live data, which contributes to a new vertical for revenue generation.
The enterprise subscription offers more benefits, ensuring valuable outcomes.
They provide callbacks to ensure clarity and resolution of any queries.
They assist us when we encounter issues and provide help while we complete tasks.
SAS Visual Analytics scalability is very good and positive.
SAS Visual Analytics is stable and manages data effectively without crashing.
Training on SAS Visual Analytics is required to help overcome these issues.
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
After implementing SAS Visual Analytics, we have generated a new way to generate revenue by providing live data visuals to our clients and making our team aware of data in real time, which has had a significant positive impact.
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 | 1.6% |
| Workday Adaptive Planning | 1.9% |
| Other | 96.5% |


| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 10 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 6 |
| Large Enterprise | 10 |
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.
Adaptive Insights provides a sophisticated business planning platform that supports dynamic financial planning, budgeting, and forecasting for companies looking to enhance decision-making processes.
With Adaptive Insights, businesses can leverage real-time data integration to create accurate financial models and strategic plans, enhancing agility and scalability. It is designed to simplify complex budgeting workflows and offers analytics tools for in-depth performance insights. This platform accommodates constant changes in the business environment, enabling adaptive long-term planning.
What are the key features of Adaptive Insights?Adaptive Insights is commonly deployed in sectors such as healthcare, manufacturing, and retail, where it supports efficient resource allocation and financial agility. In healthcare, for example, it aids in accurate budget management amid regulatory changes, while manufacturing benefits from inventory and demand planning. Retail uses it for sales and expense forecasting, aligning financial goals with market dynamics.
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