Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
We offer valuable insights into millions of businesses and individuals, meticulously compiled from trustworthy sources and structured using advanced knowledge graph technology. Our sophisticated algorithms assess the relationships among these entities, enabling you to align your business contacts with our BusinessGraph to uncover fresh opportunities and latent risks within your network. By being proactive, you can maintain a competitive edge, responding to shifts in management or corporate status ahead of others in your industry. As a company based in Germany, we strictly comply with data protection regulations, ensuring that you control the fate of your data. Our extensive international ecosystem, featuring millions of interconnected nodes, allows you to input your business partners and contacts, transforming what were once largely isolated databases. Through our intelligent matching rules, we generate a personalized BusinessGraph that our advanced algorithms and analytical tools can evaluate in numerous insightful ways, helping you make informed decisions. This innovative approach not only enhances your operational efficiency but also empowers you to strategically navigate your business landscape.
API Access
Has API
No
API Access
Has API
Yes
Integrations
SAP Cloud Platform
No
SAP Store
No
Salesforce
No
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
GraphAware
Founded
2013
Country
United Kingdom
Website
graphaware.com
Vendor Details
Company Name
Palturai
Country
Germany
Website
palturai.com/en/
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
Sales Intelligence
CRM Integration
No
Data Cleaning
No
Data Enrichment
No
Data Import/Export
No
Data Mining
No
Data Verification
No
Email Integration
No
Lead Scoring
No
List Building
No
Performance Management
No
Pipeline Management
No
Predictive Modeling/Analytics
No
Prospecting Tools
No
Reporting/Analytics
No
Sales Forecasting
No