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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
(1-9 of 9)Companies can't remove reviews or game the system. Here's why
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.
- Provides the flexibility to the end user to slice and dice the data.
- Anyone can make predictive models with the help of in-built algorithms without the need to write a single line of code or knowledge of what's under the hood of algorithms.
- The feature to simply ask a question related to data and getting a response in form of text, chart or graph is amazing.
- SAS Business Intelligence is very expensive.
- There is a steep learning curve to be proficient at using SAS Business Intelligence even for people experienced with BASE SAS.
- Limited functionality as it doesn't integrate with open source tools like Julia, Python or R.
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.
- Very fast, even with tens of millions of records
- Nice visually
- Simple to use with mostly drag and drop
- Sorting with values not used in a chart or table
- Views built from a table instead of always creating a table
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.
- SAS BI makes it very easy to create interactive dashboards even for someone who is not from an IT background. For some specific requirements, basic knowledge of SQL is good enough.
- A lot of functions have been predefined which makes it very convenient to create dashboards and reports. One doesn't need to be from an IT or a programming background to understand and create dashboards.
- It supports other programming languages like R and also has a seamless API integration with various data management platforms.
- SAS is relatively expensive when compared to other BI tools and requires a large amount of upfront fee which becomes an issue for smaller organizations.
- UI for the dashboards looks a little date in comparison to competitors like Tableau and Microstrategy.
- Integration with other open source software like Python needs to be built in.
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.
- Visualisation capabilities.
- Statistical techniques.
- Integration with most of the data sources.
- Features from competitors like Tableau, PowerBI, etc.
- Basic Data modelling (star and snowflake) for data transformation before dashboards.
- Performance Tuning.
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.
- Our staff are familiar with it as it is a common tool. Our training and implementation was short.
- Installation was easy. Our staff was able to deploy to the receiving department relatively quickly. Though the download was a pretty good size.
- Seems to crunch through large volumes of data (millions of records) pretty quickly as I've received no complaints on this front from staff.
- Support. Have had billing and license/key issues. The first time my staff reached out to support, they recommended contacting our site admin for help (me). If we could help ourselves, why would we contact? Support seems lacking.
- Download. The install file is huge and can be an issue for remote employees, or areas where networking is poor.
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.
- Visualization of large amount of data is faster because of the SAS engine behind it.
- Features like decision trees, box plot, scatter plot, and histogram are very easy to use for exploring large data. It also has some unique features like Sankey Diagrams which can be used to show a flow of a process.
- Customization options for the design of reports, making it visually more appealing.
- Better HTML5 support.
- More tutorial videos or literature on the features that are present in SAs visual analytics
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.
- The risk team uses risk analysis reports created by team members for mitigating future risks and challenges.
- Supply risk management uses SAS VA analytics dashboards on daily basis for their research and decision making. SAS VA has LASR analytics servers which are very fast and tuned for analytics queries.
- SAS VA is used by the finance and marketing team to create their own reports out of SA LASR tables as per their need. SAS VA does have both ETL and analytics capability which makes it a complete analytics package.
- More advanced dashboard features like multiple tabs creation.
- Should have option to export dashboard reports to multiple formats with original format intact.
- Latency time of reports and response should be increased.
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.
- Robust software
- Amazing Microsoft Office Integration
- Always increasing number of features
- It can be sometimes be little clunky
- Need for seamless integration with more external softwares like R
- Installation, maintenance and user management can be made more simpler
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.
- Collect and combine data from multiple sources. For example, data from the college database, the National Student Clearinghouse and our student services tracking software can combine to feed one report.
- Condense millions of rows of data into a single, easy to use report. For example, we can produce a cube that is collapsed at a high level, and users can drill down to their area of interest in seconds.
- Create interactive reports. It was important that our reports contained the ability for users to play with the data. They had to be able to filter large datasets, drag and drop comparison groups into graphs, and drill down to student-level data. SAS BI provided all of this and more.
- There will be a steep learning curve for individuals transitioning from BASE SAS to SAS BI. Our department was filled with experienced SAS programmers, but that did little to prepare us for the challenges of SAS BI. Training will be a must.
- It is possible, but extremely difficult to customize the web-based portions of SAS BI, like the Information Delivery Portal or Web Report Studio. Having an out-of-the box solution is great to get up and coming quickly, but customizing the look and feel for the web-based users will require some previous web design skills.
- In order to fully appreciate the features of SAS BI, you absolutely need someone on your team with a background in platform administration, security, web design or some other basic IT skills. Alternatively, you may just need strong support from your IT department. Simply having a group of individuals experienced in BASE SAS will not cut it.