Skip to main content
TrustRadius
SAS Visual Analytics

SAS Visual Analytics

Overview

What is SAS Visual Analytics?

SAS Visual Analytics provides a complete platform for analytics visualization, enabling users to identify patterns and relationships in data that weren't initially evident. Interactive, self-service BI and reporting capabilities are combined with out-of-the-box advanced analytics so everyone can discover insights…

Read more
Recent Reviews

TrustRadius Insights

SAS Visual Analytics has proven to be a valuable tool for organizations dealing with big data, allowing them to present complex statistics …
Continue reading
Read all reviews

Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 28 features
  • Drill-down analysis (13)
    9.0
    90%
  • Publish to PDF (13)
    9.0
    90%
  • Formatting capabilities (13)
    8.0
    80%
  • Pixel Perfect reports (12)
    8.0
    80%
Return to navigation

Pricing

View all pricing

SAS Visual Analytics for SAS Cloud

Cloud
Annual By Users: 5, 10, 20

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
Return to navigation

Product Demos

Configuring prompts for different data sources in SAS Visual Analytics

YouTube

Creating Tables and Charts in SAS Visual Analytics | Lecture #2 | SAS VA Demo | SAS VA Training

YouTube

SAS Demo | SAS Graph Builder: Custom Line Chart with Reference Line

YouTube

SAS Demo | Data Entry in SAS Visual Analytics using SAS Viya Jobs

YouTube

SAS Demo | How to prompt for a date range in a SAS Visual Analytics report

YouTube

SAS Demo | Using Common Filters in SAS Visual Analytics

YouTube
Return to navigation

Features

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

8.3
Avg 8.2

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

8.8
Avg 8.1

Report Output and Scheduling

Ability to schedule and manager report output.

9.2
Avg 8.4

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

9.7
Avg 8.1

Access Control and Security

Access control means being able to determine who has access to which data.

8.3
Avg 8.6

Mobile Capabilities

Support for mobile devices like smartphones and tablets.

8.3
Avg 7.9

Application Program Interfaces (APIs) / Embedding

APIs are a set of routines, protocols, and tools for used for embedding one application in another

9.2
Avg 7.9
Return to navigation

Product Details

What is SAS Visual Analytics?

SAS Visual Analytics provides a complete platform for analytics visualization, enabling users to identify patterns and relationships in data that weren't initially evident. Interactive, self-service BI and reporting capabilities are combined with out-of-the-box advanced analytics so everyone can discover insights from any size and type of data, including text.

BI & Analytics Features

Platform

  • Administration via Windows App
  • Administration via Web Interface
  • Live Connection to External Data
  • Snapshot of External Data
  • Multi-Data Source Reporting (Blending)
  • ETL Capability
  • ETL Scheduler

Supported Data Sources

  • MS Excel Workbooks
  • Text Files (CSV, etc)
  • Oracle
  • MS SQL Server
  • IBM DB2
  • PostgreSQL
  • ODBC
  • Cloudera Hadoop
  • Hortonworks Hadoop
  • EMC Greenplum
  • IBM Netezza
  • HP Vertica
  • SAP Hana
  • Teradata
  • Salesforce
  • SAP
  • 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.)
  • Location analytics/geographic visualization
  • Predictive analytics
  • Machine learning models
  • Pattern recognition & data mining
  • Integration with R/other statistical packages

Access Control and Security Features

  • Multi-user support (named login)
  • Role-based security model
  • Multiple access permission levels (Create/Read/Delete)
  • Report-level access control
  • Table-level access control (BI-layer)
  • Row-level access control (BI-layer)

Mobile Capabilities

  • Responsive design for web access
  • Dedicated iOS application
  • Dedicated Android application
  • Dashboard/Report/Visualization mobile interactivity

Additional Features

  • SAS Visual Analytics also includes web-based self-service data preparation, text analytics, forecasting, pathing, prescriptive and descriptive analytics.

SAS Visual Analytics Screenshots

Screenshot of Explore your data using analytics and interactive data visualizations.

SAS Visual Analytics Integrations

SAS Visual Analytics Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux
Mobile ApplicationApple iOS, Android, Windows Phone
Supported CountriesGlobal
Supported Languages26

Frequently Asked Questions

SAS Visual Analytics provides a complete platform for analytics visualization, enabling users to identify patterns and relationships in data that weren't initially evident. Interactive, self-service BI and reporting capabilities are combined with out-of-the-box advanced analytics so everyone can discover insights from any size and type of data, including text.

Reviewers rate Report sharing and collaboration and Report Delivery Scheduling and Pre-built visualization formats (heatmaps, scatter plots etc.) highest, with a score of 10.

The most common users of SAS Visual Analytics are from Enterprises (1,001+ employees).

SAS Visual Analytics Customer Size Distribution

Consumers0%
Small Businesses (1-50 employees)5%
Mid-Size Companies (51-500 employees)25%
Enterprises (more than 500 employees)70%
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews and Ratings

(76)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

SAS Visual Analytics has proven to be a valuable tool for organizations dealing with big data, allowing them to present complex statistics in a meaningful way. Users have found that the software helps them identify correlations that may not be evident at first glance. For example, the fraud, risk, and marketing teams have utilized SAS Visual Analytics for portfolio analysis of various clients. They have been able to gain insights into client behavior and make data-driven decisions.

Multiple departments, including marketing and SRM, have used SAS Visual Analytics to create dashboards that facilitate easier analytics usage. This has allowed them to monitor key metrics and track performance effectively. Additionally, some organizations have leveraged the software to analyze medical data and identify trends and improvements in the healthcare sector.

Another use case for SAS Visual Analytics is attrition analysis. In one instance, a small department focused on merchant solutions used the software to understand why people were leaving and where they were going. By analyzing the available data, they were able to identify patterns and take proactive measures to reduce attrition.

The software has also been utilized for report generation and building interactive dashboards based on census data and website logs. Users find that the tool helps them keep their data organized and presentable, allowing for quick and efficient information retrieval.

SAS Visual Analytics excels at identifying data types and filtering data fields as per specific requirements, providing accurate results in a systematic manner. Users have compared its interface to that of SPSS combined with R language, making it easy for them to relate to and use the software effectively.

Marketing agencies and database consulting firms have found value in using SAS Visual Analytics to provide BI dashboards to clients. This allows clients to access updated data and analyze metrics of interest easily.

Internally, SAS Visual Analytics has been used for exploration purposes, such as decision trees and network diagrams. The software has proven valuable in visualizing credit risk data for regulatory reporting and analysis, helping users identify gaps in data quality and understand the data from a business standpoint. Overall, SAS Visual Analytics provides users with a versatile platform to derive insights and make informed decisions across various industries and departments.

Fast and Efficient Data Presentation: Users consistently praise SAS VA for its speed and efficiency in presenting data across various axes. Many reviewers state that the tool allows them to quickly analyze large volumes of data and generate meaningful insights.

Comprehensive Analytics Package: Reviewers appreciate that SAS VA offers both ETL, Extract, Transform, Load, and analytics capabilities in one package. This comprehensive suite of features makes it a valuable tool for users who need to perform a wide range of tasks from data extraction to advanced analytics.

Easy-to-Use Interface with Drag-and-Drop Functionality: The user interface of SAS VA has been commended for its simplicity and ease of use. Multiple reviewers mention the drag-and-drop functionality, which allows users to easily perform complex analytics tasks without requiring extensive coding or technical expertise.

Poor Customer Support: Several users have reported experiencing issues with the customer support of the software. They have mentioned that when they reached out for help, they were directed to contact their site admin instead, leading to frustration and delays in resolving their concerns.

Large Installation File Size: Some reviewers have found the size of the installation file to be a problem, especially for remote employees or areas with poor networking. This has caused difficulties in downloading and installing the software, impacting productivity and user experience.

Lack of Tutorials for Beginners: A common complaint among users is the lack of tutorials specifically designed for beginners. They feel that more resources are needed, particularly on the presentation side of the software, to assist new users in understanding its features and functionalities better.

Users report that SAS Visual Analytics offers accurate outputs compared to other products. They recommend trying out SAS Visual Analytics to determine its fit for business needs. Users also praise the great algorithm of SAS Visual Analytics. Consideration of SAS Visual Analytics is recommended, especially for handling large data and utilizing SAS Viya for end-to-end data science modeling and visualization. However, users advise against making tables with SAS Visual Analytics. Despite being an expensive tool, it is deemed worthwhile for businesses needing information integration and dialog boxes. Suggestions include incorporating simulation models and creating a more affordable version for small companies. SAS Visual Analytics provides a free trial, in-person training, and documentation for webinars as well as online cloud-based performance support. It is considered an ideal software for developing predictive models and creating descriptive tables for statistical business analysis. Although SAS Visual Analytics is good for visualization and data exploration, some users find the installation process challenging and the data load process complex for batch loads. Nonetheless, users recommend it for efficient coding and graph creation. Lastly, some users find SAS Visual Analytics easy and efficient to analyze data on campus and uncover student trends, suggesting it as a good tool with minimal training required in the Visual Analytics domain.

Attribute Ratings

Reviews

(1-18 of 18)
Companies can't remove reviews or game the system. Here's why
Score 9 out of 10
Vetted Review
Verified User
Incentivized
I was in a meeting with the client and there I have to show them some analytic data to them. But I was confused about how I will manage to show big data to clients with accuracy. But then the SAS Visual Analytics software helps me in presenting accurate data at the moment and it was very presentable and through that, I got the deal for that business.
Raman Ahuja | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
SAS Business Intelligence is more suited to organizations which are already using SAS as the primary software for their analytics needs. Learning curve is relatively shorter for teams already skilled in BASE SAS. For organizations already working with open source software like Julia and Python, it doesn't make much sense to use SAS BI.
Thomas Young | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
SAS Business Intelligence is well-suited for companies that already have employees doing SAS programming or companies that want to move into a more advanced, paid business intelligence platform. The software is a natural extension of the base SAS system, and base SAS programmers should enjoy the visual capabilities offered by SAS Business Intelligence. The software, of course, is not only for established SAS customers. It is easy enough for non-SAS programmers to figure it out, but it will be easier for experienced professionals. SAS Business Intelligence is ideal for companies looking to have reports automated, such as accounting reports, processing reports, statistical reports, and various other business reports. The software is not appropriate for one or two person shops, unless you are the type that wants to create reports for yourself. I think it would be hard to justify the cost if the company does not have executives interested in real-time visualization and analytics. If they're not going to use it, it's not useful.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Business Intelligence is excellent for ad-hoc query implementations. We are able to provide connections to numerous data sets through a consistent user interface
  • Business Intelligence is amazing for hiding the database implementation from users and presenting ONLY what you wish them to see
  • Business Intelligence is less for suited for a seamless integration into a web site as reports are generally presented through the BO report interface
Score 9 out of 10
Vetted Review
Verified User
Reporting to users who do not have access to specialized software Dashboards with a lot of interactivity, so users decide by themselves what characteristics they want to see. Integrates very well with other SAS products.
Tapan Jain | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
SAS BI is a great BI tool as it incorporates the advantage of SAS which is proven to be robust over the years. SAS BI is more suitable for a relatively larger organization which is looking for self-service BI tools where most of the users are not technically proficient. Also, since license fee is an on a higher end, smaller organizations will find it hard to afford SAS.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is well suited for companies which are already in SAS environment and have lot of data in SAS for Analytics. If you don't have any SAS products or expertise, this need not be the first SAS tool you should look at. Explore Tableau, PowerBI and assess based on "fit for purpose."
Score 9 out of 10
Vetted Review
Verified User
Incentivized
For the industry I was working it, it was very well suited. We conducted regular analytics of the number of orders completed a week. It gave us insight on how we grew week to week. While it was easy to work on quantifiable data, it was difficult to work on qualitative data. One suggestion I would add is that if SAS could provide options that would allow qualitative data to be quantified.
October 18, 2016

Eye Candy on steroids

Ian Macintosh | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
It is particularly well suited to big data collections that have good structure. It is not really designed for unstructured datasets (documents, etc). Its strength is the processing speed (particularly when implemented on Hadoop). It is not cheap but it is worth it!
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Substantial discounts to plenty of industries, ample of users to support the ever growing community and industry specific solutions that work; all make it extremely appropriate for us.
Nicole Jagusztyn | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Implementing SAS BI will work best when you either have strong IT support or someone on your team with IT experience. We naively went into this adventure with a group of researchers who could not fully articulate what a virtual server was. That was a mistake. SAS BI is typically installed in a multi-tier, multi-server environment. Getting the server configuration and server sizing correct from the outset is critical and the SAS organization can only help so much without inside knowledge of the needs of your organization.
SAS BI is also well-suited for organizations which do not have an existing reporting solution. Previously, our organization had no way to get data into the hands of our users outside of ad-hoc requests delivered as Excel tables or graphs. This was a great way to get up and running quickly delivering interactive reports that are accessible from anywhere and updated daily.
Erik Larsen | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
It is best suited to when you have different data sources that need to be combined. It does not require a sourcing team (such as MicroStrategy) which needs to combine the data into one schema before you can start joining data.The question to ask is "Are you going to have a dedicated administrator?" This is a full time job and this person (persons) need to focus on that and not be expected to also analyze the data.
Return to navigation