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features
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support

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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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Microsoft 365 No 
Microsoft Excel No 
Microsoft Outlook No 
Microsoft PowerPoint No 
Microsoft Word No 
SAS Visual Statistics No 
SAS Viya No 

Integrations

Microsoft 365 Yes 
Microsoft Excel Yes 
Microsoft Outlook Yes 
Microsoft PowerPoint Yes 
Microsoft Word Yes 
SAS Visual Statistics Yes 
SAS Viya Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
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 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 No 
Live Training (Online) Yes 
In Person Yes 

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 No 
Data Visualization Yes 
Demographic Data Yes 
Geocoding Yes 
Geofencing No 
Location Tracking No 
Predictive Analytics Yes 
Trade Area Analysis Yes 

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 

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