

SAS Visual Analytics and Sisense are major contenders in the business intelligence market, with Sisense often holding the advantage due to its user-friendly design and swift deployment.
Features: SAS Visual Analytics provides features like predictive modeling, correlation forecasting, and interactive reporting. It integrates seamlessly with large datasets, facilitating consistent data management. Sisense, designed for ease of use, offers powerful data modeling and quick visualization tools. It is particularly attractive for users seeking rapid deployment with minimal technical setup.
Room for Improvement: SAS Visual Analytics is criticized for its complex installation, high cost, and additional purchase needs for some features. Challenges around data preparation and integration are noted. Sisense faces critiques concerning its limited data provider support and cumbersome administration tasks. Users desire more customization and advanced data handling capabilities in Sisense.
Ease of Deployment and Customer Service: SAS Visual Analytics primarily functions on-premises with some cloud options, leading to mixed customer support reviews. Users report variable service experiences, indicating a need for more efficient engagement. Sisense offers both on-premises and cloud deployment options. Its prompt setup is praised, resulting in generally positive service reviews.
Pricing and ROI: SAS Visual Analytics is viewed as expensive, with additional costs hampering its appeal to smaller businesses. Its ROI is questioned due to these expenses. Sisense's pricing, although high, is considered competitive, especially for medium-sized businesses. Its straightforward subscription model is favored over SAS Visual Analytics’ complex licensing.
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.
It makes it very easy for us to make data-driven decisions and we are able to forecast our future predicament or future plans, hence increasing or boosting productivity in my organization.
Due to the data presented to stakeholders, they are able to make informed decisions that impact the day-to-day operations of the client, giving them more insights into what's happening within their organization.
I have seen a return on investment in that we can manage the Sisense environment with a very small number of users.
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.
We typically get responses within 24 hours.
The support was very good.
Sisense customer support is proactive and responsive.
SAS Visual Analytics scalability is very good and positive.
It is scalable to a very large extent and we can integrate any third-party tools.
Sisense's scalability is impressive as it can crunch a lot more data and has consistently better performance.
Sisense works really well for simple to medium use cases and scales well.
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.
It could provide more connectors to integrate with emerging different data sources to exponentially increase the amount of data it can handle.
There is no proper metrics regarding dashboards, tables, use, and workloads, effects optimization, and schema size.
I give Sisense a nine because the integration with some third-party tools is good.
My experience with pricing, setup cost, and licensing is that it is cost-effective, but for smaller organizations working under a tight budget, this tool might be a bit expensive for them.
There was no significant difference in pricing between Sisense and ThoughtSpot.
My experience with pricing, setup cost, and licensing shows that pricing is a little bit higher when compared to other applications, but that justifies the use case.
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.
It offers two ways to access data: by cubing the data or hitting it live.
The in-chip methodology is very effective because it allows millions of data points to be loaded in a few seconds and processed, enabling us to make data-driven decisions through the insights gained.
It allows the user to cater to different use cases and is a very fast aggregator across different data sources, giving you the historical context and helping in operationalizing your data.
| Product | Mindshare (%) |
|---|---|
| Sisense | 2.4% |
| SAS Visual Analytics | 1.6% |
| Other | 96.0% |


| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 10 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 7 |
| Large Enterprise | 15 |
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.
Sisense enables data visualization and analytics with ease of use and fast setup, effectively integrating different data sources for efficient decision-making.
Sisense provides an intuitive platform for companies to handle data visualization and advanced analytics without requiring extensive technical knowledge. Quick deployment, custom dashboard creation, and seamless embedding are supported by an API-first approach. It allows integration of data from multiple databases, enhancing speed through in-chip methodology and real-time updates. Users benefit from its ElastiCube Manager and reduced deployment time, contributing to data-driven decisions. Comprehensive documentation supports users in navigating potential challenges.
What are the key features of Sisense?Sisense is commonly used across industries such as product development, sales, and marketing to deliver tailored analytics and dashboards for diverse departmental needs. Organizations leverage Sisense's capabilities for embedding analytics, optimizing financial models, and improving sales strategies. Its intuitive interface allows non-technical teams to efficiently handle and derive insights from large datasets.
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