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SAS Visual Analytics

by SAS Institute | Founded 1976, Cary, NC

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SAS Visual Analytics

by SAS Institute | Founded 1976, Cary, NC

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What is SAS Visual Analytics?

Industry Specialties: Serves all industries

SAS Visual Analytics offers fast answers to complex questions drawn from datasets of all sizes. It provides guided exploration, interactive dashboards, smart visualizations and self-service analytics to users of all technical skill levels, promoting data literacy and visibility. Its versatile, scalable design helps users make better business decisions based on data transparency. Built on a cohesive in-memory architecture, it promotes intelligent action driven by insight.

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SAS Visual Analytics Pricing

Based on our most recent analysis, SAS Visual Analytics pricing and cost details are described here:

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Price: $
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Starting From: $8000
Pricing Model: Monthly
Free Trial: 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
Knowledge Base
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:

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.

Email: Email support@sas.com.

Phone: 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.

Training: 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.

Tickets: 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)