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What is Style Scope?

Style Scope, created by InetSoft, is a cutting-edge dashboard application tailored for real-time reporting and visual data assessment. With its powerful and flexible data analytics engine, Style Scope allows users to integrate data in a modular, Lego-like fashion, while encouraging comprehensive business data exploration. This platform features sophisticated interactive dashboarding and analytical capabilities through Style Intelligence, making it an outstanding option for businesses as well as an ideal OEM component for developers. Additionally, Style Scope empowers data scientists and advanced users to independently access and manipulate essential data without relying on IT support, significantly boosting their efficiency and autonomy in making data-informed decisions. By leveraging this tool, organizations can fully tap into the potential of their data assets, driving innovation and growth across various sectors. Ultimately, this functionality positions Style Scope as a vital resource for effective data management and analysis in today's fast-paced business environment.

What is SAS Visual Machine Learning?

Employ a comprehensive set of SAS tools to access, handle, analyze, and present data in visual formats. By using SAS Visual Machine Learning, organizations can significantly boost their analytical skills through integrated machine learning and deep learning functionalities that improve visualization and reporting methods. This strategy empowers users to visually identify and reveal significant connections within their data sets. Furthermore, the platform enables the development and dissemination of interactive reports and dashboards, while also allowing for self-service analytics that quickly assess possible outcomes, encouraging more informed, data-driven decision-making. Users have the capability to explore their data deeply and build or adjust predictive models in the SAS® Viya® environment. Enhanced collaboration among data scientists, statisticians, and analysts allows for the ongoing refinement of models tailored to particular segments or demographics, ensuring that decisions are made based on accurate insights. Additionally, the user-friendly visual interface streamlines the resolution of complex analytical issues, effectively managing all aspects of the analytics lifecycle while fostering a cooperative atmosphere for all participants. This collaborative framework not only enhances the efficiency of the analytical process but also leads to more innovative and effective solutions in data interpretation.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

$500.00/one-time
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

InetSoft

Date Founded

1996

Company Location

United States

Company Website

www.inetsoft.com

Company Facts

Organization Name

SAS

Company Location

United States

Company Website

support.sas.com/en/software/visual-machine-learning.html

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Categories and 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

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