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SAS Visual Analytics has proven to be a valuable tool for organizations dealing with big data, allowing them to present complex statistics …
Starting at $0 Annual By Users: 5, 10, 20
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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…
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Popular Features
- Drill-down analysis (13)9.090%
- Publish to PDF (13)9.090%
- Formatting capabilities (13)8.080%
- Pixel Perfect reports (12)8.080%
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
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
Features
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Product Details
- About
- Integrations
- Tech Details
- FAQs
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
SAS Visual Analytics Integrations
- Google Analytics
- Microsoft SharePoint
- Microsoft Office
- Digital Marketing snd Social Media: Twitter
- Salesforce
- All major Hadoop distributions
SAS Visual Analytics Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Linux |
| Mobile Application | Apple iOS, Android, Windows Phone |
| Supported Countries | Global |
| Supported Languages | 26 |
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
| Consumers | 0% |
|---|---|
| Small Businesses (1-50 employees) | 5% |
| Mid-Size Companies (51-500 employees) | 25% |
| Enterprises (more than 500 employees) | 70% |
Comparisons
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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!
- Business Problems Solved
- Pros
- Cons
- Recommendations
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
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November 05, 2022
The software will upgrade your work pattern and will help in achieving your business goals more fast.
SAS Visual Analytics is used to keep the data in a presentable way which helps in finding any data in less span of time without wasting time.<br>The business problem we address is data found at the time when we need but it took too much time to find out accurate data at the moment which is now possible through the SAS Visual Analytics software. It provides accurate data within less span of time in a very systematic way.
SAS Business Intelligence is mainly used by the analytics teams across organizations in order to create interactive reports and dashboards. The employees are not dependent [on] clunky Excel reports and dashboard[s] anymore and are able to have access to reports, dashboards, and insights on the go with the help of mobile apps. Also, lot of features are inbuilt to do predictive analysis as well instead of just descriptive analysis.
December 09, 2020
SAS Business Intelligence is good at many things, but be prepared to wait for your models to run
SAS Business Intelligence is used in the department for creating user-friendly, nice-looking graphics that are easy to follow and automatically update or require minimal effort to update. SAS Business Intelligence solves the problem of offering simple real-time analytics and data visualization for users that are not technically oriented.
February 28, 2018
Business Intelligence for your reporting needs!
SAS Business Intelligence provides a valuable and powerful way to allow our end-users to query our data on an ad-hoc basis. Business Intelligence allows us to present the data to our users with pre-defined joins and available data elements assisting the users in designing and executing queries without requiring additional technical assistance. This provides both a cost and time savings to our technical teams.
February 23, 2018
SAS VA is our reporting tool
Score 9 out of 10
Vetted Review
Verified User
I use SAS Visual Analytics to build reports for my coworkers. I build dashboards based on census data and website logs. The dashboards are all interactive and the user can choose themes or subsets. They do not have any software (except Office) for those analyses besides what I provide them and they are all happy with the results.
February 22, 2018
A great product
SAS Business Intelligence is being used primarily in our Research and Analytics departments to evaluate program changes that we might make going forward. It really is only used by a few departments by company employees who are considered subject matter experts. Other departments use the outputs that we generate to make their business decisions. Another major use is for math intensive tasks.
February 22, 2018
Best analytical tool.
Visual Analytics is being used for attrition analysis; we want to focus on why people leave and where. It's only used in a small department of merchant solutions.
January 31, 2018
SAS BI - Analytics made easy
SAS BI is being used by Local and Central Analytics teams to generate custom insights for advertisers, vertical level insights and to create various predictive models. SAS BI is used mostly by the Analytics teams. Since we are in AdTech industry, we deal with billions of rows of digital impression data which is mined to make sense using SAS BI. SAS BI directly connects to Vertica (SQL Database) and help us summarize the data and gather some insights on how to optimize the campaigns.
August 29, 2017
Go for SAS VA if you already have SAS environment
We use SAS Visual Analytics in visualising credit risk data for Regulatory reporting and Analysis. It has been very helpful in finding the gaps in data quality and understanding the data better from a business standpoint.
June 20, 2017
SAS Analytics,a data analytics tool for your needs
SAS Visual Analytics was used to identify data type, and for filtering data fields as per requirements. For me, it appeared like SPSS combined with R language. This interface is very helpful and made it easy for me to use the software. To get the desired result and output, it is very easy to relate. For regular R users, writing algorithms is very easy and visuals appear side by side.
February 20, 2017
Preferred by our users.
It is used by a single department. We use it to better analyze our medical data we receive to look for trends and benchmark area results and improvements. This is a new method for us, and we are still evaluating the need.
October 18, 2016
Eye Candy on steroids
SAS Visual Analytics is one of our key products. It allows us to present detailed and complex statistics in a meaningful way. It also allows us to look at the data with 'fresh eyes' and see correlations that may not otherwise be evident. For 'big data' organizations this is a great tool.
June 08, 2016
Visual Analytics makes my job fun and interesting
We are an agency that provides marketing and database consulting solutions to multiple clients. Depending on the needs of the client we use SAS Visual Analytics to provide BI dashboards where client can get access to updated data as soon as it is available and drill down on the metrics they are interested in. It also allows them to export the data behind a chart (bar chart, pie chart etc.) in different formats.
We also use it internally for exploration, we have used decision trees and network diagrams in the past.
We also use it internally for exploration, we have used decision trees and network diagrams in the past.
June 06, 2016
SAS Visual Analytics
SAS Visual Analytics is used by the fraud, risk and marketing team in our organization for portfolio analysis of various DC and PLCC clients. SAS Visual Analytics is used to create various dashboards for marketing, SRM and other departments for better and easier analytics usage.
It is majorly used to explore our data and discover new patterns. It aids in answering any curious mind's research questions. And most importantly it helps share the answers and the insights to relevant stakeholders in all the ways they can understand. It makes the data analyst's job easier and decision maker's decisions smarter.
October 07, 2014
SAS BI is the best product ever offered
SAS Business Intelligence is being used for health care economics and outcomes research and is used across the organization. It allows to develop optimal strategies of health care to treat patients and predict the cost of different options and protocols. SAS/STAT is an important part of statistical evaluation in most of the studies.
June 06, 2014
SAS BI: The power to see and be seen.
Score 10 out of 10
Vetted Review
Verified User
The Institutional Research Department at the college uses the full functionality of SAS BI to manipulate data, and produce reports and dashboards. These products are placed on the SAS Information Delivery Portal for use by administrators, deans and other staff across the college in data-driven decision making. Having a centralized repository for reports that are timely, interactive and easy to use has helped our employees in their decision making.
May 20, 2014
SAS is the total package
Score 9 out of 10
Vetted Review
Verified User
This product is used by several departments across the organization. While it was slow getting groups engaged, it has solved the problem of accumulating data from different sources into one place where it can be reported on and analyzed, thus serving the need of having the identical data pulls across all organizations. It also solved the issue with having analysts using thin-client to access the data which alleviated the need to have software installed on their workstations.