Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Predictive analytics involves a range of statistical methods derived from data mining, predictive modeling, and machine learning, which assess both current and historical information to forecast future or unknown occurrences. The Government Contracting and Analytics Solutions (GCAS) has created numerous applications leveraging artificial intelligence and probabilistic reasoning techniques, chiefly for the Department of Defense. These applications span a wide array of fields such as corrosion analysis, structural dynamics, acoustic modeling, medical diagnostics, radar measurement, target recognition and tracking, as well as cybersecurity, planning, and scheduling. Additionally, the GCAS job cost system is meticulously crafted to cater to the needs of small business government contractors and accounting firms serving clients involved in government or project-based contracts. This focus on tailored solutions ensures that clients can efficiently manage their resources and optimize project performance.
Description
Enhance the efficiency of the data mining workflow to expedite model development. Gain insight into critical relationships and identify the most significant patterns. Significantly reduce the time it takes for data miners and statisticians to create models. An intuitive, self-documenting process flow diagram environment effectively outlines the complete data mining procedure to yield optimal outcomes. Furthermore, it boasts a wider array of predictive modeling techniques than any other available commercial data mining software. Why settle for anything less than the best? Business professionals and domain experts with minimal statistical expertise can easily construct their own models using SAS Rapid Predictive Modeler. Its user-friendly interface guides them through a sequence of data mining activities. The analytics findings are presented in straightforward charts that deliver the clarity required for improved decision-making. Leverage cutting-edge algorithms and industry-adapted methods to develop superior models. Additionally, confirm the accuracy of results through visual evaluations and validation metrics, ensuring a robust modeling process. This comprehensive approach not only enhances model performance but also empowers users to make informed choices with confidence.
API Access
Has API
No
API Access
Has API
No
Integrations
SAS Data Loader for Hadoop
No
SAS MDM
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
GCAS
Website
gcas.com
Vendor Details
Company Name
SAS Institute
Founded
1976
Country
United States
Website
www.sas.com/en_us/software/enterprise-miner.html
Product Features
Job Costing
Bills of Material
No
Budgeting & Forecasting
Yes
Change Orders
No
Cost-to-Completion Tracking
No
Invoice Management
No
Overrun Reporting
No
Percent-Complete Tracking
No
Production Cost Tracking
No
Purchase Order Management
Yes
Quotes / Estimates
No
Time Tracking
Yes
Work Order Management
No
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
Yes
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
Yes
Sentiment Analysis
No