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What is Vista?

Vista is an all-encompassing insight-as-a-service platform designed to provide businesses of all sizes with mobile location intelligence, analytical tools, and media performance metrics that deepen their understanding of consumer behaviors and competitive dynamics. It offers pre-analyzed insights applicable to any geographic region, which can be effortlessly exported in a variety of accessible formats. By catering to analysts with varying expertise, Vista ensures that firms can utilize diverse tools tailored to their specific needs. Furthermore, the platform aggregates and anonymizes data, allowing for smooth integration into existing operational processes. Companies also have the advantage of personalized reports and analyses developed by a specialized team of data scientists and GIS professionals, which enriches the insights available to them. For example, the platform can trace the locations of visitors 30 minutes prior to or following their time spent at a particular site, while also pinpointing the key geographic regions that drive visitor traffic. Such advanced features empower organizations to make data-driven decisions that are well-informed and strategically sound. Ultimately, the combination of robust analytics and tailored insights positions Vista as an invaluable asset for any business aiming to enhance its operational efficacy.

What is SAS Enterprise Guide?

SAS Enterprise Guide offers a convenient method for users to tap into SAS's analytical power through a straightforward point-and-click interface tailored for Windows. This application empowers users to perform analyses independently, combining an extensive array of analytical choices with the robust functionalities of SAS software, all presented within an easy-to-navigate graphical interface. As a result, business analysts are able to derive their own insights and produce reports, which allows IT departments to focus on more critical strategic tasks. Moreover, SAS Enterprise Guide integrates effortlessly with SAS Viya, permitting teams to maintain their current workflows while running SAS programs in the cloud without any need for recoding. This integration capitalizes on the benefits of a modern, cloud-based setup, which provides improved efficiency, scalability, and superior analytical capabilities. Additionally, the software aids users in swiftly accessing data for their analyses, scheduling projects, collaborating on outcomes, and embedding results for repeated use. This includes the application of advanced analytics and a variety of other features offered by SAS, creating a comprehensive toolset for users. Furthermore, this amalgamation of functionalities not only boosts productivity but also encourages a collaborative environment for data analysis within organizations, promoting a culture of shared knowledge and insight generation.

Media

Media

Integrations Supported

SAS Viya

Integrations Supported

SAS Viya

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

UberMedia

Date Founded

2010

Company Location

United States

Company Website

ubermedia.com

Company Facts

Organization Name

SAS

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/enterprise-guide.html

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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