DataWalk
Innovative Analytical Platform
Big Data I Graph Analytics I Data from multiple sources
The tool allows you to quickly combine large volumes of data from various sources and detect trends, patterns, and networks of connections.
As a certified Partner, we implement, configure, and provide analytical services based on the DataWalk platform.
Achieve better results
PMake better decisions by analyzing ALL the data available. Quickly discover new connections and patterns across all of your data. Automatically identify e.g. criminal groups and their connections. Instant 360 degree view of all data.
DataWalk is an analytical platform that uses advanced graph technologies for data analysis. This platform enables organizations to effectively connect various data sources, discover patterns, identify relationships and create advanced visual analytics.
Thanks to DataWalk, it is possible to quickly process large data sets and generate comprehensive reports, which allows you to make more accurate business decisions. DataWalk can be used in various fields such as crime analysis, risk management, data auditing and financial analysis.
Quickly combine large amounts of data into a single knowledge graph.
Knowledge graph – intuitive data representation
10 X faster analysis
- All data in one place, easy to search and analyze;
- Quick results even with billions of records;
- Combination of expert and statistical methods (e.g. Machine Learning, clustering) in one solution;
- Automatic analysis and scoring.
Certainty and safety
- Repeatable results: saving and rerunning analyses;
- Analytics on all available data;
- High-risk entity typing using scoring supported by statistical and expert methods;
- Secure multi-dimensional authorization module.
Examples of application:
Anti-money laundering
Blockchain investigations
Border security
Mobile phone data analysis
Pandemic management
Human trafficking
Illegal immigration
Internal/external fraud
Insurance fraud
Intelligence Analytics
Legal wiretapping
Machine Learning
Organized crime
Collecting and analyzing data from open sources (OSINT)
Billing analysis
Let’s talk about implementation, configuration and data analysis using Data Walk
Paulina Czajka | Director of Monitoring and Analytical Systems