Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Utilize a robust suite of SAS technologies to access, manipulate, analyze, and present information through visual formats. By leveraging SAS Visual Machine Learning, organizations can enhance their analytical capabilities with integrated machine learning and deep learning features, which facilitate improved visualization and reporting practices. This approach allows users to visualize and uncover pertinent relationships within their data. Additionally, the platform supports the creation and sharing of interactive reports and dashboards, alongside enabling self-service analytics to swiftly evaluate potential outcomes, fostering smarter, data-driven decisions. Users can delve into their data and construct or modify predictive analytical models while operating within the SAS® Viya® environment. Collaborative efforts among data scientists, statisticians, and analysts enable iterative model refinement tailored to specific segments or groups, ensuring decisions are informed by precise insights. Moreover, this comprehensive visual interface simplifies the resolution of intricate analytical challenges, efficiently managing every aspect of the analytics lifecycle while promoting a more collaborative environment for all stakeholders involved.
Description
Industry 4.0, Big Data, and the Internet of Things represent a diverse array of concepts surrounding interconnected and smart manufacturing. Softgate has introduced SOMA, a sophisticated software solution designed for the seamless capture, visualization, and analysis of production machine data. The potential data sources and applications are virtually endless, as any machine capable of generating data—either inherently or through retrofitted sensors—can connect to SOMA with ease. This capability exemplifies the central idea of those initial buzzwords: integrating machinery with robust IT systems. By leveraging the data collected, these IT platforms can identify patterns that lead to forecasts regarding equipment wear, product quality, or energy usage. SOMA’s modular hardware design facilitates effortless integration, whether for individual machines or entire clusters. Additionally, a centralized data repository enables tailored comparisons and evaluations, enhancing decision-making for both single machines and groups of machines. This holistic approach not only streamlines operations but also empowers manufacturers to optimize their processes effectively.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Microsoft 365
Yes
Microsoft Excel
Yes
Microsoft Outlook
Yes
Microsoft PowerPoint
Yes
Microsoft Word
Yes
SAS Visual Statistics
Yes
SAS Viya
Yes
Integrations
Microsoft 365
No
Microsoft Excel
No
Microsoft Outlook
No
Microsoft PowerPoint
No
Microsoft Word
No
SAS Visual Statistics
No
SAS Viya
No
Pricing Details
No price information available.
Free Trial
Yes
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
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
SAS
Country
United States
Website
support.sas.com/en/software/visual-machine-learning.html
Vendor Details
Company Name
Softgate
Country
Germany
Website
www.soft-gate.de/en/digitalisierung-von-produktionsmaschinen/
Product Features
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No