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
Access, analyze, and manipulate data to uncover emerging trends and patterns effectively. SAS Visual Data Science provides a unified, self-service platform that enables the creation and sharing of intelligent visualizations alongside interactive reports. Leveraging machine learning, text analytics, and econometric techniques enhances forecasting and optimization capabilities, while also allowing for the management and registration of both SAS and open-source models, whether within projects or as independent entities. Utilize this tool to visualize and identify pertinent relationships within your data. Generate and disseminate interactive reports and dashboards, employing self-service analytics to promptly evaluate potential outcomes for more informed, data-driven decisions. Dive into data exploration and construct or modify predictive analytical models using this solution integrated with SAS® Viya®. By fostering collaboration among data scientists, statisticians, and analysts, teams can iteratively refine models tailored to specific segments or groups, thereby empowering decisions rooted in precise insights. This collaborative approach not only enhances model accuracy but also accelerates the decision-making process significantly.
API Access
Has API
API Access
Has API
Integrations
JMP Statistical Software
Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft PowerPoint
Microsoft Word
SAS Visual Statistics
SAS Viya
Integrations
JMP Statistical Software
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-data-science.html
Product Features
Location Intelligence
Behavioral Analytics
Data Visualization
Demographic Data
Geocoding
Geofencing
Location Tracking
Predictive Analytics
Trade Area Analysis
Product Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery