SAS Visual Analytics Reviews & Pricing
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What is SAS Visual Analytics?
Industry Specialties: Serves all industries
SAS Visual Analytics Pricing
Based on our most recent analysis, SAS Visual Analytics pricing starts at $8,000 (Monthly).
- Price
- $$$$$
- Starting From
- $8,000
- Pricing Model
- Monthly
- Free Trial
- Yes, Request for Free
Training Resources
SAS Visual Analytics is supported with the following types of training:
- Documentation
- In Person
- Live Online
- Videos
- Webinars
Support
The following support services are available for SAS Visual Analytics:
- Phone
- Chat
- FAQ
- Forum
- Help Desk
- Knowledge Base
- Tickets
- Training
- 24/7 Live Support
SAS Visual Analytics Benefits and Insights
Key differentiators & advantages of SAS Visual Analytics
- Easily Create Models and Explore Data: Build models that are stable, accurate and easy to create, based on proven techniques. Interact with and prepare data for self-service analysis or visualization. Unify diverse datasets and present in an easy-to-interpret format.
- Discover Data Relationships and Patterns: Make data relationships easy to see and understand through machine learning that visualizes narratives from the data. Identify patterns in data through algorithms and pre-defined related measures.
- Visualize Data in Intuitive Graphics: Discover and display trends in the form of intuitive graphics, reports and dashboards, including geographical data displayed on interactive maps, making them easier to explain, share and understand.
- Glean Data-Based Insights: Gain insights and understand the business more thoroughly by identifying patterns, trends or important points in data. Improve transparency at every level — answer specific business questions, identify pain points in workflows, highlight areas for improvement and forecast future results much more accurately.
- Perform Guided and Augmented Analysis: Leverage a variety of augmented or automated features that facilitate the data discovery and analysis processes. Get suggestions on the best-fit graphic for a given set of data via augmented analytics. Identify potentially related groups of data based on pre-set factors through automated explanation, uncovering insights potentially missed by the naked eye.
- Make Better Business Decisions: Make data-driven business decisions based on historical information. Glean insights from data trends and patterns and apply them to forecasting, budgeting and other business planning.
- Share and Collaborate: Collaborate on dashboards and share them easily with internal teams, clients, management and other key groups. Add comments to reports, create alerts for report objects to notify key members when a trigger factor is met, distribute PDF reports securely and restrict access to maintain the report’s integrity.
Industry Expertise
SAS Visual Analytics Reviews
Based on our most recent analysis, SAS Visual Analytics reviews indicate a 'great' User Satisfaction Rating of 83% based on 137 user reviews from 5 recognized software review sites.
Synopsis of User Ratings and Reviews
Based on an aggregate of SAS Visual Analytics reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.
Pros
Cons
Researcher's Summary:
SAS Analytics is a versatile business intelligence and analytics tool that empowers users to explore and understand data through interactive data visualizations. Many users who reviewed data analysis said that, coupled with the power of predictive analytics, the platform offers a plethora of graphics options — charts, graphs and dashboards — with deep-dive capabilities, such as filtering, to zero in on pertinent business data. Many users who reviewed functionality and data preparation said that, possibly because of its capable ETL engine and in-memory architecture, data processing speed is very high and reports load faster. A majority of users who reviewed data connectivity said that the tool is efficient in pulling data from multiple sources for data modeling and analysis.
On the flip side, quite a few users who reviewed functionality said that the platform’s integration with Python and R is still in the development stage and this limits its functional scope. Some users who discussed user-friendliness said that the processes are not the most intuitive — errors and warnings in logs are misleading, and new users may find adoption difficult. Though the industry scope of user tutorials is limited, a majority of users said that the steep learning curve of the platform is sufficiently addressed by training. For many users, its cost-prohibitive licensing plans caused them to not consider it their first choice when it came to purchasing a BI solution.
Overall, SAS Visual Analytics is a versatile tool with fast data processing capabilities and strong visualizations to generate reports for insightful data analysis.
Key Features
- Ad Hoc Reporting and Analysis: Assemble reports from data creatively in real time as opposed to relying on a predesigned template. Run queries and perform analysis on data on demand without knowing code.
- Predictive Analysis: Make predictions about future conditions based on historical data through data mining, machine learning and predictive modeling.
- Mobile Apps: Leverage the power of native apps on iOS, Android and Microsoft devices, with an optimized mobile interface. Interact with visualizations on the go, view previous reports, leave comments, capture screenshots and set mobile notifications.
- Interactive Discovery: Identify outliers, clusters, relationships, trends, etc. by exploring data in a natural query-based way rather than through coding.
- Location Analytics: Lasso data points on a map through OpenStreetmap or Esri ArcGIS to select them for analysis and then enrich demographic data through point clustering, map pins, custom polygons and more.
- Trend Indicators: Identify which types of data to observe through built-in trend indicators that attempt to predict future movement of data points based on historical trends.
- Visualizations: Get desired insights from data and easily discover patterns through a range of visualization options, such as bar graphs, pie charts, donut graphics, line graphs, scattergrams, heat maps, bubble maps, dot maps, needle graphics, numeric series, schedule charts, vectors, key value infographics and more.
- Scheduled Reporting: Programmable to send reports at scheduled intervals or based on triggered events to ensure they are delivered regularly.
- Customizable Dashboard: Access only relevant tools, visualizations and data through the customizable dashboard interface. Engage with data as well as collaborate with others on data visualizations, irrespective of technical skill levels.
- Embedded BI: Embed the system into web applications or other software solutions for a seamless interface and direct data draw. Also, embed individual reports and dashboards using SAS SDK.
Limitations
- According to Gartner, SAS Visual Analytics is one of the most difficult solutions to implement
- Lacks efficiency in data preparation and data management
- Requires manual work in forecasting
- Content creation is very difficult and time-consuming
- UI isn’t user-friendly and offers limited customization for plotting graphs
Suite Support
Top Competitors
Cost of Ownership
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Pricing Details
Category | Description | Price/Details |
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SAS Visual Analytics VA4 |
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SAS Visual Analytics VA8 |
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SAS Visual Analytics VA16 |
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SAS Visual Analytics Private |
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Deployment Options | What options are available for product deployment? |
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Pricing Model |
What is the pricing model? |
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Minimum commitment |
Is there a minimum monthly or yearly commitment required for purchase? |
Typically, a minimum commitment of 1-3 years is required for license-based solutions |
Custom Quote |
Is there an option for requesting a custom quote? |
Available |
Free Trial |
Does the solution provide a free product trial option? |
Available (for 14 days) |