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…
The software will upgrade your work pattern and will help in achieving your business goals more fast.
SAS BI - Not so great Business Intelligence software
Business Intelligence for your reporting needs!
SAS VA is our reporting tool
A great product
Best analytical tool.
SAS BI - Analytics made easy
Go for SAS VA if you already have SAS environment
SAS Analytics,a data analytics tool for your needs
Preferred by our users.
Eye Candy on steroids
Visual Analytics makes my job fun and interesting
SAS Visual Analytics
Trusted since ages by data analysts in Higher Ed to help decision makers make smart decisions for student success
SAS BI is the best product ever offered
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
- Drill-down analysis (12)9.090%
- Publish to PDF (12)9.090%
- Formatting capabilities (12)8.080%
- Pixel Perfect reports (11)8.080%
Pricing
SAS Visual Analytics for SAS Cloud
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
Creating Tables and Charts in SAS Visual Analytics | Lecture #2 | SAS VA Demo | SAS VA Training
SAS Demo | SAS Graph Builder: Custom Line Chart with Reference Line
SAS Demo | Data Entry in SAS Visual Analytics using SAS Viya Jobs
SAS Demo | How to prompt for a date range in a SAS Visual Analytics report
SAS Demo | Using Common Filters in SAS Visual Analytics
Features
BI Standard Reporting
Standard reporting means pre-built or canned reports available to users without having to create them.
- 8Pixel Perfect reports(11) Ratings
Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.
- 8Customizable dashboards(11) Ratings
Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.
- 9Report Formatting Templates(10) Ratings
Ad-hoc Reporting
Ad-Hoc Reports are reports built by the user to meet highly specific requirements.
- 9Drill-down analysis(12) Ratings
Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.
- 8Formatting capabilities(12) Ratings
Ability to format output e.g. conditional formatting, lines, headers, footers.
- 8Integration with R or other statistical packages(10) Ratings
Integration with the open-source R predictive modeling environment.
- 10Report sharing and collaboration(11) Ratings
Report sharing and collaboration is the ability to easily share reports with others.
Report Output and Scheduling
Ability to schedule and manager report output.
- 9Publish to Web(11) Ratings
- 9Publish to PDF(12) Ratings
- 9Report Versioning(9) Ratings
Report versioning is the assignment of version numbers to each version of a report to help in tracking.
- 10Report Delivery Scheduling(11) Ratings
Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.
- 9Delivery to Remote Servers(6) Ratings
Ability to deliver reports to remote servers
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.
- 10Pre-built visualization formats (heatmaps, scatter plots etc.)(9) Ratings
Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.
- 10Location Analytics / Geographic Visualization(10) Ratings
Location analytics is the visualization of geographical or spatial data.
- 9Predictive Analytics(9) Ratings
Predictive Analytics is the ability to build forecasting models based on existing data sets.
Access Control and Security
Access control means being able to determine who has access to which data.
- 9Multi-User Support (named login)(11) Ratings
Named model access means that users have access based on name and password.
- 8Role-Based Security Model(10) Ratings
Role-based access means that access to data is determined by job or position in the corporation.
- 8Multiple Access Permission Levels (Create, Read, Delete)(11) Ratings
Multiple access permission levels means that different levels of users have different rights.
- 8Single Sign-On (SSO)(7) Ratings
Allows users to use one set of login credentials to access multiple applications
Mobile Capabilities
Support for mobile devices like smartphones and tablets.
- 10Responsive Design for Web Access(9) Ratings
Web design aimed at producing easy-to-read sites across a range of different devices.
- 9Mobile Application(7) Ratings
A dedicated app for iOS and/or Android.
- 9Dashboard / Report / Visualization Interactivity on Mobile(8) Ratings
In-app dashboard reports and data visualization.
Application Program Interfaces (APIs) / Embedding
APIs are a set of routines, protocols, and tools for used for embedding one application in another
- 10REST API(4) Ratings
REST is an architecture style for designing networked applications
- 9Javascript API(4) Ratings
A Javascript API is a type of API
- 9iFrames(4) Ratings
An iFrame is an HTML document embedded inside another HTML document on a website
- 9Java API(4) Ratings
A Java application programming interface (API) is a list of all classes that are part of the Java development kit (JDK)
- 9Themeable User Interface (UI)(4) Ratings
A themeable user interface means that a specific visual them can be applied to it
- 9Customizable Platform (Open Source)(3) Ratings
A customizable, open source API Gateway is a fast and scalable type of API
Product Details
- About
- Integrations
- Tech Details
- FAQs
What is SAS Visual Analytics?
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 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
(75)Community Insights
- 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
(1-17 of 17)The software will upgrade your work pattern and will help in achieving your business goals more fast.
- It helps in providing the accurate analysis
- It helps in Better understanding the data
- It helps is sharing the data easily
- Sometimes it gives the biased data
- It need to provide tutorials for new beginners
- 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.
Business Intelligence for your reporting needs!
- Presentation of complex data in an easy-to-understand layout
- Self-service querying of data on both mobile and desktop devices
- Business Objects allows users to save report layouts for use in future queries
- Business Objects should provide a more consistent mobile/desktop interface so operation between the two is seamless
- Business Objects needs to make it easier to query across disparate data sets such as Oracle to SQL to Mongo DB
- Our installation of Business Objects does not natively allow the export of XLSX documents, only XLS
- 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
SAS VA is our reporting tool
- 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
A great product
- I use SAS daily to not only analyze data, producing reports and other outputs, but also to replicate our entire financial system to verify/duplicate calculations.
- Using SAS we are able to duplicate all business logic and system calculations on our local desktop.
- When there is odd behavior (a bug) in our financial calculations my SAS programs, which are entirely external to our core system, are often used to help identify what/where the problems occurred.
- The cost for SAS Business Intelligence con prove to be a little bit prohibitive.
- The training for SAS Business Intelligence is often difficult to arrange and has often been canceled due to not enough people enrolled.
- Support at Universities used to be limited but I hear that this is changing.
Best analytical tool.
- Easy to use Interface
- Face Paced Results
- Drag and drop analytics perks
- For what we use it for, we can't find any flaws. We strictly use it for our use case and have not noticed any downfalls.
SAS BI - Analytics made easy
- 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.
Go for SAS VA if you already have SAS environment
- 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.
SAS Analytics,a data analytics tool for your needs
- Stock market analysis.
- Resource utilization and optimization.
- Pivot table analysis.
- Customizing a report as per the user requirement.
- Adding more color and font styles. Presenting data in a more colorful way.
- The website has a lot of tutorials which is more inclined to the technical side. Maybe add more to the presentation side as well.
Preferred by our users.
- 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.
Eye Candy on steroids
- Present data across a range of axis in a meaningful way
- bring out correlations that could lead to some interesting research
- it's FAST!
- Securing individual records or fields from view
- additional view types
Visual Analytics makes my job fun and interesting
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
Providing BI dashboards that can be accessed across multiple devices.
Visualizing/exploring large amounts of data.
SAS Visual Analytics
- 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.
- 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
SAS BI is the best product ever offered
- User friendly
- Efficient
- Comprehensive
- More usage guides
SAS BI: The power to see and be seen.
- 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.
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.
SAS is the total package
- Providing a seamless data access engine to monitor utilization of credit lines across several lines of business. Pulling data from Teradata, Oracle, DB2, Netezza and others to be combined into a single data source for reporting
- Ability to analyze data through thin client which is able to access the data on the network
- Reporting software which is also thin client and can be productionalized to refresh at any time.
- Software setup and administration can be cumbersome if you do not have the right people to tune the product to operate efficiently
- Data Integration product can be difficult for those who do not already have some data processing experience.
- Difficult to get some departments to buy in to using the product as they are siloed into another product.