Overview
SAS provides solutions for SMB as well as large organizations in all industries. It provides a modern, integrated environment for governed discovery and exploration. Its tools can be used to transform masses of data about sub-surface, operations, reservoirs, fields, other assets.
Screenshot
Features
- Visual Analytics
- Collaboration Tools
- Predictive Analytics
- Predictive Analytics
- Data Column Filtering
- Dashboard
- Key Performance Indicators
- Trend / Problem Indicators
- Automodeling
- Steps to Answer
- Ad hoc Reporting
- Content Management
- Relational Display
- Customizable Dashboard
- Multiple Data Sources
- Web Services
- Scheduled / Automated Reports
- Financial Reporting
- Search/Filter
- Regression Analysis
- Multivariate Analysis
- Statistical Simulation
- Association Discovery
Specifications
- Deployment: Cloud Based, Web Based, SaaS Based, Installed - Windows, iPhone / iPad, Android
Training
- In Person
- Live Online
- Webinars
- Documentation
SAS Visual Analytics Users
Available Support
- Phone
- Live Support
Language Support
- English
Company Details
Company Name: SAS Institute
Headquarter: United States
Full Address:
Reviews
The ability to connect with all third parties (that we use) and merge their data together in one system then analyze the structured information in a consistent and reliable way makes SAS Business Intelligence a very powerful system. The ability to run code that we made 10 years ago is also very nice.
Licences are expensive. If you are using SQL you miss Moss of the raw power. SAS procs arenot the most I tuitive. And most importantly, newer packages re after 10x or more quicker. Eg. IBM aginity netezza.
Although SAS Visual Analytics is a very complete tool in all aspects is important to note that it has several features that play against it in which we can find mainly the initial cost of the service, well known that gives you many comforts but the cost per acquisition is expensive as it has deficiency in visualization of templates and lack of diversification of use tutorials and it seems that they are aimed at a specific sector of professionals and not any industry.
Very easy to use. All necessary charts are there, and more. It is very simple to add data and then to add more calculated fields. Since data is in memory, everything is fast. You make a change to a filter and your new chart is there. You can start with the Visual Analytics module, and grow from there.
The user community is not so great as compared with another open-source. SAS is pretty expensive so companies are now switching to open sources like python and R.
