Amaltea.

Audacia against fraud.

Amaltea is a portal with information that evaluates past recorded events in the archive of an insurance company. Its aim is to highlight potential fraud quickly and easily.

How it works:

• Through the application of rules developed by our experts in analyzing security and Big Data archives owners.
• By sidelights, confirmed and surveyed, produced by the Social Data, an integrated model for the analysis of new sources of information.

BENEFITS FOR A COMPANY

There are two main benefits from the use of the Amaltea portal:

The main benefits:

• Increased competitiveness, demand, margins and business processes budgets.
• Reduction of acquisitions at risk.
• Improvement of the business, supply and corporate image.
• Savings in claims paid out.

The indirect benefits:

• Removal of unwanted customers.
• Discouraging the acquisition of customers at risk for fraud.
• Strengthening of company image.

THE AMALTEA SYSTEM.

The contrast with insurance fraud can occur through two methods of analysis:

1. The deductive-evaluation system that analyzes the likelihood that an event is potentially fraudulent, analyzing congruency with respect to rules of suspected fraud.

2. Preventive system, which offers potential suspicious behavior sensible in the rules, allowing the management of the risk of the potential client.

Both systems are based on an analysis of four main sources of data, which is populated with the internal Db:

• Previous customer archives.
• Social Networking.
• Black-box.
• Big-data public.

WHAT IS SOCIAL DATA?

The social data is a model for the analysis of events, behaviors, and likelihood of fraud. Social data uses new technologies available to extract and archive all reports and statistics on occurrences.

It is based on a conceptual model graphs for the entities and relationships, in line with what is now used by the major social networks.

Fundamentals behind AMALTEA.

Objectives:

• Systematic checks.
• Choice of Rules.
• Choice of actions.
• Risk index.

Rules:

• Matrix Managerial Fraud by Social Data.
• Historical and statistical analysis.
• State logic.
• Manual ranking.

Intelligence:

• Historical valuations.
• Behavioral analysis.
• Analysis of complaints and reports.
• Self-directed learning.
• Integration.
• Systems transferors.
• Extension of rules.
• Analysis of Social Data.