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What is SAS Visual Statistics?

SAS Visual Statistics fosters collaborative data exploration, allowing multiple users to interactively create and refine predictive models. Data scientists and statisticians can apply the most appropriate analytical techniques to derive insights at an intricate level. As a result, insights can be discovered at impressive speeds, leading to new revenue growth opportunities. This platform permits the construction and optimization of models targeted at specific demographics or segments, while simultaneously exploring various scenarios. Such capabilities motivate users to raise numerous what-if questions to improve outcomes. Moreover, results can be operationalized through automatically generated score code, streamlining application processes. Users can visually manipulate the data by adding or modifying variables, removing outliers, and more, which enables them to instantly evaluate how changes affect the model's predictive accuracy, facilitating rapid adjustments. Data science teams benefit from the flexibility of working in their preferred programming languages, thereby maximizing their skill set. Ultimately, SAS Visual Statistics unifies all analytical resources into a holistic solution for data-driven decision-making. This integration creates an environment that nurtures innovation and expands the horizons of data analysis, enabling teams to push the limits of their analytical capabilities. Furthermore, the collaborative features of the platform enhance teamwork and knowledge sharing among users, driving better results through collective expertise.

What is MATLAB?

MATLAB® provides a specialized desktop environment designed for iterative design and analysis, complemented by a programming language that facilitates the straightforward expression of matrix and array computations. It includes the Live Editor, which allows users to craft scripts that seamlessly integrate code, outputs, and formatted text within an interactive notebook format. The toolboxes offered by MATLAB are carefully crafted, rigorously tested, and extensively documented for user convenience. Moreover, MATLAB applications enable users to visualize the interactions between various algorithms and their datasets. Users can enhance their outcomes through iterative processes and can easily create a MATLAB program to replicate or automate their workflows. Additionally, the platform supports scaling analyses across clusters, GPUs, and cloud environments with little adjustment to existing code. There is no necessity to completely change your programming habits or to learn intricate big data techniques. MATLAB allows for the automatic conversion of algorithms into C/C++, HDL, and CUDA code, permitting execution on embedded processors or FPGA/ASIC systems. In addition, when combined with Simulink, MATLAB bolsters the support for Model-Based Design methodologies, proving to be a flexible tool for both engineers and researchers. This versatility underscores MATLAB as a vital asset for addressing a broad spectrum of computational issues, ensuring that users can effectively tackle their specific challenges with confidence.

Media

Media

Integrations Supported

Microsoft Azure
SAS Analytics for IoT
SAS Visual Machine Learning
SAS Viya

Integrations Supported

Artelys Knitro
Azure Marketplace
Codecov
EASA
FEATool Multiphysics
FICO Xpress Optimization
Lapce
Macrobond
OpenCV
RunMat
Saasment
Sublime Text
UberCloud
VIKTOR
Vertica
Wing Python IDE

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
Linux

Supported Platforms

SaaS
Windows
Mac
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

SAS

Company Location

United States

Company Website

www.sas.com/en_us/software/visual-statistics.html

Company Facts

Organization Name

The MathWorks

Date Founded

1984

Company Location

United States

Company Website

www.mathworks.com

Categories and Features

Data Science

Not specified

Statistical Analysis

Not specified

Categories and Features

Backtesting

Not specified

CAD

2D Drawing
3D Modeling
Civil
Collaboration
Design Analysis
Design Export
Document Management
Electrical
Mechanical
Mechatronics
Presentation Tools

Data Science

Not specified

Data Visualization

Not specified

Engineering

2D Drawing
Collaboration
Document Management
Presentation Tools

Fraud Detection

Not specified

Predictive Analytics

Not specified

Programming Languages

Not specified

Simulation

3D Modeling
Agent-Based Modeling
Industry Specific Database
Presentation Tools
Turbulence Modeling

Statistical Analysis

Association Discovery
Compliance Tracking
File Storage
Statistical Simulation

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