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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

GraphAware presents Hume, an innovative platform for data analytics and intelligence analysis that leverages graph technology to convert isolated structured and unstructured data into a cohesive web, enhancing insight and decision-making capabilities. Central to Hume's functionality are the principles of knowledge graphs and graph databases, which allow for the seamless ingestion, unification, and representation of data as interconnected networks of nodes and relationships, empowering analysts and data scientists to explore, query, and visualize complex connections and concealed patterns without the necessity of mastering intricate query languages. This platform provides a unified perspective of truth across various data sources, speeds up the identification of subtle relationships and behavioral patterns, and facilitates advanced graph data science techniques such as node influence analysis, link prediction, community detection, and automated alerting, all bolstered by integrated machine learning and features from large language models (LLMs). By streamlining the access and analysis of diverse data sets, Hume not only enhances the efficiency of data exploration but also opens up new avenues for strategic decision-making.

Description

Rapid and Responsible Decision-Making with Structured Data. Facilitating well-informed financial and advisory decisions through secure access and meticulous analysis of intricate data sets. What is MOGOPLUS? MOGOPLUS offers Data, Analytics, and Research solutions designed to empower organizations to make timely and informed choices. The landscape is evolving due to stringent regulations, advancing technologies, and shifting customer expectations, leading to significant transformations across various global industries. Effectively harnessing customer data to expedite credit decisions, evaluate risks proficiently, and enhance customer experiences has become a vital competitive advantage in today's data-centric economy. MOGOPLUS adeptly captures unstructured customer data, analyzes it in real-time, and reformulates it into a format compatible with any decision-making system, rules engine, or credit policy. Furthermore, all MOGOPLUS offerings are accessible through a user-friendly API or a no-integration, web-based dashboard, making it seamlessly integrable with any third-party platform. Our patented technology ensures a cutting-edge approach to data analysis and decision-making. With MOGOPLUS, organizations can stay ahead in a rapidly changing market by leveraging the full potential of their data assets.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Engaged CRM No 

Integrations

Engaged CRM Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

GraphAware

Founded

2013

Country

United Kingdom

Website

graphaware.com

Vendor Details

Company Name

Mogoplus

Country

Australia

Website

mogoplus.com

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

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