A graph data analytics platform that works with real-time information and can be used by both business users and data analysts.

It is characterised by:

1. Big Data with graphs
   Integrates and interrelates all the business information in a graph structure, which provides a new perspective for reading information and its graphical visualisation.
   Unique and efficient platform for understanding results and detecting incidents in processes. Reduces response times with a simple usability that facilitates the company’s digital transformation.
2. Real-time information
   Monitor every query in seconds, ensuring speedy management to detect potential activity risks.
   A rules engine technology that visualises business information, analyses data, and enriches it with real-time, machine learning models.
3. Artificial intelligence
   By combining the analysis of the information with graphs, with artificial intelligence, the rate of false positives is reduced and new indicators appear for the implementation of a good verification process.
   It allows data scientists to use SmartGraph-specific, trained analytical models or create new models to meet business needs.
4. Automation
   It designs process workflows to interact with any system and report potential issues while machine learning models evaluate information.
   SmartGraph allows users to decide how the models are classified, reducing operational costs, with an automated system based on artificial intelligence.