SAS® Visual Analytics: SAS-Visual-Analytics enables data visualization, robust reporting, and mobile BI. Insights are derived through advanced analytics software from SAS India.
Striim: Striim enables real-time data integration and streaming for analytics and business intelligence. It builds data pipelines to stream trillions of events in real-time.
This comparison report of SAS® Visual Analytics vs. Striim is based on a specific set of business needs and context. The comparison uses 2570 Cuspera insights based on peer reviews, case studies, testimonials, and expert opinions across 50+ sources.
Introducing SAS® Visual Analytics and Striim
Different products excel in different areas, so the best platform for your business will depend on your specific needs and requirements.
SAS® Visual Analytics covers Funnel Analysis, Social Media Management with Mobile, Collaboration, Engagement Management, etc.
Striim focuses on Social Media Management, Competitive Intelligence, Collaboration with Website, Funnel Analysis, etc.
Unsure which of these solutions is right for you? Our Cuspera AI engine can compare them based on your needs and specific to your industry and context. Get your personalized report today.
SAS® Visual Analytics and Striim: Best activities based on customer satisfaction
SAS® Visual Analytics in Action: Unique Activities
What benefits does SAS® Visual Analytics offer for Funnel Analysis?
"...Good tool with limited training required to start with Visual Analytics domain, recommended!...." Peer review by User
What Are the key features of SAS® Visual Analytics for Collaboration?
"...Google Analytics Standard Reporting Features Customizable dashboards Report formatting templates Ad-hoc Reporting Features Drill-down analysis Output formatting Predictive modeling Report sharing & collaboration Report Output & Scheduling Features Publish to Web Publish to PDF Output raw supporting data Report delivery scheduling Data Discovery & Visualization Features Multiple pre-built visualization formats (heatmaps, scatter plots, etc.)..." Peer review
Striim in Action: Unique Activities
How does Striim address your Competitive Intelligence Challenges?
"...Continuously stream data between enterprise sources and targets in multiple Smart Data Pipelines to enable real-time decisions and business intelligence. ..." Real-time data integration and streaming platform
What solutions does Striim provide for Lead Analytics?
"...Power your organization with real-time data integration and streaming for analytics and business intelligence. ..." Real-Time Data Integration
Top Processes
Customer evidence for the processes each product supports. Click Read Reviews to open peer feedback.
Evidences indicate better relative satisfaction
Top Goals
Goals Achieved
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Manage risk
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Improve efficiency
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Enter new markets internationally or locally
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Manage risk
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Improve ROI
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Enhance customer relationships
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Launch new products
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Acquire customers
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Improve stakeholder relations
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Improve internal communications
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Improve visibility
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Improve digital and social presence
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Grow market share
- See 9 more
IT and Other Capabilities
- Low
- Medium
- High
Data
Support
Others
Business Setting
| SAS® Visual Analytics | Striim | |
|---|---|---|
| Peer score | 4.1 | 4.6 |
| Peer insights | 684 | 1886 |
| Top industries |
Information Technology And Services 28.0%
Government Administration 16.0%
Hospital & Health Care 9.0%
|
Telecommunications 34.0%
Computer Software 33.0%
Consumer Services 31.0%
|
| SMB and Mid-Market | 37.0% | 0.0% |
| Enterprise | 63.0% | 100.0% |
News
Latest SAS® Visual Analytics news
Metanet SAS, Etnus Join Forces to Target South Korea's Cloud Payroll Market
Metanet SAS and Etnus have signed a memorandum of understanding to jointly develop and market cloud-based payroll solutions in South Korea. Their collaboration focuses on joint sales, solution integration, and talent cultivation, leveraging Metanet SAS's MetaPay and Etnus's BPO expertise to enhance payroll operations.
Latest Striim news
Delivering real-time context for retail AI with Striim and Microsoft Azure.
Striim and Microsoft Azure have integrated to deliver real-time data context for retail AI, enhancing decision-making and customer engagement. This collaboration enables continuous data streaming, supporting AI use cases in retail environments.