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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 GraphAware?

GraphAware introduces Hume, a cutting-edge platform designed for data analytics and intelligence evaluation, which utilizes graph technology to transform disparate structured and unstructured data into an integrated web, thereby improving insight and decision-making processes. At the heart of Hume’s capabilities are knowledge graphs and graph databases, which enable the smooth ingestion, unification, and visualization of data as interconnected networks of nodes and their relationships, allowing analysts and data scientists to investigate, query, and reveal intricate connections and hidden trends without needing to learn complex query languages. This platform offers a comprehensive view of truth derived from multiple data sources, accelerates the discovery of nuanced relationships and behavioral trends, and supports advanced graph data science methods like node influence analysis, link prediction, community detection, and automated alerts, all enhanced by incorporated machine learning and features from extensive language models. By simplifying the access and examination of varied data sets, Hume not only boosts the efficiency of data exploration but also creates new possibilities for informed strategic decision-making. As a result, organizations can leverage Hume to gain a competitive edge in their analytical pursuits.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

GraphAware

Date Founded

2013

Company Location

United Kingdom

Company Website

graphaware.com

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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