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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.

What is BizAcuity?

A cutting-edge analytics acceleration platform that provides unparalleled insights and hastens market readiness through easily implementable predictive models and thorough dashboards designed to satisfy all gaming sector needs. It conducts a thorough assessment of current business intelligence (BI) frameworks, adopts a strategic methodology for business intelligence, and crafts tailored BI solutions. The platform carefully evaluates and pinpoints critical business variables, utilizes suitable statistical modeling methods to tackle business challenges, and refines its models to improve results. Furthermore, it addresses concerns while clarifying business objectives through effective data sourcing, integration, and reporting, alongside outlining strategies for the integration of big data technologies with existing legacy systems. The platform also effortlessly aids in transferring on-premise customer relationship management systems to the cloud and the shift from traditional data warehouses to cloud-based visual analytics. Within the financial services industry, stakeholders such as investors, traders, rating agencies, and insurance firms have consistently acknowledged the importance of harnessing vast and complex data for informed decision-making, which highlights the platform's critical role in enabling strategic insights. This capability not only boosts operational efficiency but also cultivates a competitive edge in an ever-changing market environment, ensuring businesses remain ahead of the curve. Ultimately, the platform's comprehensive features pave the way for innovation and sustained growth in various sectors.

Media

Media

Integrations Supported

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

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
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

Company Facts

Organization Name

SAS

Company Location

United States

Company Website

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

Company Facts

Organization Name

BizAcuity

Date Founded

2011

Company Location

United States

Company Website

bizacuity.com

Categories and Features

Data Visualization

Not specified

Machine Learning

Not specified

Categories and Features

Data Management

Not specified

Data Visualization

Not specified

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