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Average Ratings 0 Ratings
Description
Cornerstone data analysis software enhances the efficiency of designing experiments and exploring data while allowing users to analyze dependencies and derive actionable insights immediately and interactively, all without requiring programming skills. It facilitates an engineer-friendly approach to executing statistical tasks, freeing users from the complexities of statistical intricacies. The software enables quick detection of correlations within data, even when operating within a Big Data framework. By employing statistically optimized experimental designs, it minimizes the number of experiments needed and accelerates the overall development process. Additionally, it supports rapid identification of usable process models and root-cause analysis through exploratory and visual data examination. Structured planning, efficient data collection, and thorough result analysis further optimize the experiments conducted. Users can easily investigate the impact of noise in process variables on the corresponding responses, and the software automatically captures compact, reusable workflows for future use, making it an invaluable tool for data-driven decision-making. Ultimately, Cornerstone empowers users to streamline their data analysis and experiment processes significantly.
Description
Gain complimentary access to the robust SAS software designed for statistical analysis, data mining, and forecasting. Its intuitive point-and-click interface eliminates the need for programming skills. This allows users to employ the latest statistical and quantitative techniques at any time and from any location. SAS OnDemand for Academics provides access to the same high-caliber analytics tools that over 82,000 organizations globally utilize, including all Fortune 500 companies in sectors such as banking, health insurance, pharmaceuticals, aerospace, e-commerce, and IT services. This opportunity is available to professors, educators, students, and self-learners alike, making it easy to harness the power of SAS software through the cloud. The setup process is straightforward, requiring only a reliable broadband internet connection after initial configuration to utilize this premier analytics platform. Additionally, users can connect with a community of SAS enthusiasts to exchange questions, share insightful ideas, collaborate on various projects, and receive support from peers. Engaging with fellow users can significantly enhance the learning experience and foster professional growth.
API Access
Has API
API Access
Has API
Integrations
Elfsight
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
camLine
Founded
1989
Country
Germany
Website
www.camline.com/products/cornerstone/
Vendor Details
Company Name
SAS
Founded
1976
Country
United States
Website
www.sas.com/en_us/software/on-demand-for-academics.html
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization