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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

MagicDraw effectively accommodates the UML 2 metamodel, adheres to the latest XMI standards for data management, and supports a wide array of popular programming languages for implementation. In contrast to other UML modeling and architectural tools, MagicDraw simplifies the establishment of a Software Development Life Cycle (SDLC) environment tailored to meet your organization's specific requirements. Our commitment to adhering to standards, along with an Open API, facilitates seamless integration with various applications that work cohesively to address your business needs. We offer compatibility with numerous leading tools, including IDEs, requirement management, testing, estimation, Model-Driven Development (MDD), and database systems. MagicDraw ensures flexibility by not being bound to a specific software development methodology, thus aligning well with your organization's processes and allowing for the centralization of business and process modeling, requirements gathering, and design efforts. Additionally, MagicDraw's versatility allows it to be utilized throughout all phases of your project, ensuring that teams can adapt their workflows as needed.

Description

Incorporate analytics into immediate interactions and event-driven functionalities. The SAS Visual Data Science Decisioning suite offers strong capabilities in data management, visualization, advanced analytics, and model oversight. It enhances decision-making by crafting, integrating, and governing analytically driven decision processes at scale, whether in real-time or through batch processing. Additionally, it facilitates analytics deployment in the data stream to uncover valuable insights. Tackle intricate analytical challenges with an intuitive visual interface that manages all stages of the analytics life cycle efficiently. Running on SAS® Viya®, SAS Visual Data Mining and Machine Learning merges data manipulation, exploration, feature development, and cutting-edge statistical, data mining, and machine learning methodologies within a single, scalable in-memory processing framework. Users can access data files, libraries, and existing scripts, or create new ones, via this web-based application that is conveniently accessible through any browser, thus enhancing flexibility and collaboration.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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

Integrations

Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft Word
PowerPoint
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

Dassault Systèmes

Founded

1981

Country

France

Website

www.3ds.com/products-services/catia/products/no-magic/magicdraw/

Vendor Details

Company Name

SAS

Country

United States

Website

support.sas.com/en/software/visual-data-science-decisioning.html

Product Features

Enterprise Architecture

Application Portfolio Management
Architecture Governance
Capability Mapping
Diagramming
Idea Management
Modeling & Simulation
Project Management
Risk Assessment
Transformation Roadmapping
Version Control

Product Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

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Alternatives

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