Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Eighty percent of the data you possess includes a spatial aspect, and leveraging this can greatly enhance your decision-making processes. By utilizing the spatial dimension, you can visualize your data on a map almost instantly, allowing you to recognize location-based phenomena more effectively. Enhance your analysis by incorporating spatial elements to gain a deeper understanding of your operations within their broader context, which can help uncover emerging trends. You can also test various hypotheses, such as evaluating the establishment of a new location, planning sector divisions, or reorganizing logistics. This approach enables you to weigh different options more effectively and make informed decisions. Furthermore, you can present your analyses and decisions in a manner that suits your requirements, utilizing high-definition maps, automated reports, dynamic dashboards, or interactive self-service tools, ensuring that your insights are accessible and actionable. By adapting your presentation methods, you can facilitate better communication and collaboration within your team and stakeholders.
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.
API Access
Has API
API Access
Has API
Integrations
Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft PowerPoint
Microsoft Word
SAS Visual Statistics
SAS Viya
Integrations
Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft PowerPoint
Microsoft Word
SAS Visual Statistics
SAS Viya
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
Articque
Founded
1989
Country
France
Website
www.articque.com
Vendor Details
Company Name
SAS
Country
United States
Website
support.sas.com/en/software/visual-machine-learning.html
Product Features
Location Intelligence
Behavioral Analytics
Data Visualization
Demographic Data
Geocoding
Geofencing
Location Tracking
Predictive Analytics
Trade Area Analysis
Product Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization