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#6

SAS Visual Analytics is ranked #6 in the Predictive Analytics Software product directory based on the latest available data collected by SelectHub. Compare the leaders with our In-Depth Report.

SAS Visual Analytics Pricing

Based on our most recent analysis, SAS Visual Analytics pricing starts at $8,000 (Monthly).

Price
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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:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

SAS Visual Analytics Benefits and Insights

Why use SAS Visual Analytics?

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 serves organizations in a wide range of industries but specializes in healthcare, government services, higher education, consulting services, professional services, media and entertainment.

SAS Visual Analytics Reviews

Average customer reviews & user sentiment summary for SAS Visual Analytics:

User satisfaction level icon: great

137 reviews

83%

of users would recommend this product

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

  • Data Analysis: Around 81% of users who reviewed its data analysis capabilities said that the tool offers out-of-the-box advanced analytics to identify patterns and relationships in business data.
  • Functionality: Citing its powerful in-memory technology, approximately 62% of users who reviewed functionality said that the solution provides a single, compact interface for data exploration and modeling for faster analytic computations.
  • Data Visualization: Around 60% of users who reviewed data visualization said that they can perform exploratory data analysis with a multitude of graphics options, such as bubble charts, line charts, dual axis charts.
  • Ease of Use: Approximately 54% of users who mentioned ease of using the software said that it is easy to generate reports with some basic SQL knowledge.

Cons

  • Cost: Around 80% of users who discussed the platform’s cost said that they find the pricing to be cost-prohibitive.

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

Some of the product limitations include:

  •  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

Before opening a tech support ticket, go through the online resources on the vendor’s website for self-paced troubleshooting. These include documentation such as technical papers, installation notes, usage notes, blogs and community forums.

mail_outlineEmail: Email [email protected].
phonePhone: Call 1-800-727-0025 (U.S. and Canada) or 1-919-677-8008 (international), or live chat with an agent on the support page.
schoolTraining: Access a range of both free and paid training options on the SAS training homepage. These include e-learning, live web classes, training on location, free tutorials, a learning subscription and more.
local_offerTickets: Submit a ticket through the tech support web form on the vendor’s website.

Top Competitors

Here are the other software most often considered with Oracle BI in actual selection project*
*Data derived from SelectHub's Jumpstart & Decision Platforms

Cost of Ownership

License/Subscription Cost
  •  Price is based on server and user capacity. It includes license and hosting infrastructure cost 
  •  150, 300 and 600 GB storage is provided by the SaaS Now environment. The price of additional storage is $0.50 per GB per month 
Maintenance Cost
  •  On-Premise: An additional cost over and above the upfront cost has to be paid for ongoing support and maintenance 
  •  Cloud-based/SaaS: Upgrades and add-ons are managed directly in the cloud at no extra cost 
Installation/Implementation Cost
  •  On-Premise: Typically charged in addition to the license cost 
  •  Cloud-based/SaaS: Included in the subscription cost 
Customization Cost
  • Will vary depending on the functional requirements such as configurable dashboards, dashboard and operational reporting needs, type of data elements required for tracking, complexity of workflows, forms to collect additional data, UI changes, etc
Data Migration Cost/Change Management/Upfront Switching Cost
  • Dependent on your current software, amount of data to be migrated, availability of migration tools, complexity of data and gaps between the existing system and the new system
Training Cost
  • Provides free e-learning and online demos
Recurring/Renewal Costs
  •  On-Premise: Includes cost for updates, maintenance, upgrades, and patches 
  •  Cloud-based/SaaS: Renewal cost is equivalent to the fees paid monthly or annually 

Pricing Details

Category Description Price/Details

SAS Visual Analytics

VA4

  • Server Capacity
    • 4 cores
    • 61 GB RAM
    • 150 GB Storage
  • User Capacity
    • 1-2 heavy users
    • 5 report users
    • 25 report readers

SAS Visual Analytics

VA8

  • Server Capacity
    • 8 cores
    • 122 GB RAM
    • 300 GB Storage
  • User Capacity
    • 2-3 heavy users
    • 10 report users
    • 50 report readers

SAS Visual Analytics

VA16

  • Server Capacity
    • 16 cores
    • 244 GB RAM
    • 600 GB Storage
  • User Capacity
    • 3-5 heavy users
    • 20 report users
    • 100 report readers

SAS Visual Analytics

Private

  • Server Capacity: On demand
  • User Capacity: Custom made
Deployment Options What options are available for product deployment?
  • On-premise
  • Cloud-based/SaaS
Pricing Model

What is the pricing model?

  • Licensing model
  • Subscription-based
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)

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