Cornerstone Pricing & Demo

An analytical software system designed keeping in mind the Engineering process, Cornerstone business intelligence software can help you right from the Experimental Design stage. Having in-built statistical functions like regression, multivariate analysis, MANOVA, etc. has applications in a wide variety of industries like manufacturing, semiconductors, and medicine. The interactive interface and analytical dashboards add a new dimension to Cornerstone’s capabilities.

Cornerstone Pricing

Cornerstone pricing is primarily subscription-based. Monthly and yearly subscriptions are available for end-users. To find Cornerstone pricing for a unique subscription requires the end user to contact the support team. The offers (if any) and pricing are dependent on the version and features that the user intends to use.

Cornerstone Demo

The demo can be had in a number of modes. Users can go for scheduling an online or in-person demo for the system. There is a lot of documentation available on the website for the clients. The team also conducts webinars to present information about the product and its enhanced capabilities.

Cornerstone Business Intelligence Software Features-

• Powerful Analytical Tool Set- Forming the core of the system, these tools help in optimizing processes at each step. Support for different phases of including Exploratory Data Analysis, Model Development, and DoE

• Streamlining capability for Workflows- Essential Data and Object Handling features and Reporting capabilities to support workflows. Capability to automate workflows followed by faster analysis

• State of the Art Multi-category Charts- Innovative use of multiple histograms to capture information that may otherwise be missed. Easy rearrangement of variables and labeling to help identify the correlation and outliers

• Integration with different standard tools- Simple interfaces to integrate with Apache Spark and Apache Casssandra, supporting in faster processing of big data. Quickly integrated with R to import the statistical calculations and user-defined R packages