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Suistimal Analitiği

Fraud Analytics Solutions

We create analytical platforms designed according to compatible structure and sector of the company, in order to detect, monitor and investigate internal and external financial frauds in companies and organizations.

According to the ACFE (Association of Certified Fraud Examiners) annual report, companies worldwide (sector independent) lose between 4-7% of their annual turnover due to internal and external fraud. If this rate exceeds 7%, it results in bankruptcy within 3 years at the latest regardless of the size of the company.

DETECT INSURANCE FRAUDS AND RELATIONS BEHIND THEM INSTANTLY.

Problem:

  • Insurance companies may face significant financial losses each year because of both internal and external frauds.
  • The detections are mostly reactive and only aiming the first dimension of the event.
  • Detection of organized activities and relations behind the frauds that occur, creates serious challenges and barriers in today’s multiplicity and complexity of data sources.

Solution:

  • With the insurance fraud detection tool that we have created with advanced analytical systems, experience on know-how, data science and risk calculation methods, organizations and companies have the capabilities to also create 24/7 scenario-based fraud alarms, have predictions and detect relations between events and people, which are easily and quickly available by using structured and/or unstructured, internal and/or external data.
  • Link detection, models, visual links, and incident analyses can be also performed in other related insurance companies’ fraud prevention systems.

OBSERVE , PREDICT, DETECT AND PREVENT FRAUDS COMING FROM YOUR DISTRIBUTION CHANNELS AND SUPPLIERS.

Problem:

  • It is hard and challenging to detect and examine the fraud-related losses of companies with dealer and store network in the field, in a timely manner and this situation significantly affects both the profitability and sustainability of the business.
  • Harmful risks that businesses are exposed to, through their suppliers and solution partners, include financial and reputational losses as well as legal risks.
  • Every year, dozens of business partners go bankrupt, lose reputation and suffer from major financial losses due to harmful risks related to their suppliers and distribution channels.

Solution:

  • The company’s own resources, distribution channels and/or supplier data and large data environments collected from open sources are analyzed instantly with tabular and visual link analytical methods.
  • Anomalies and fraud are detected by observing the activities of the channels on full-time basis.
  • Various fraud scenarios work with autonomous processes and by alarm generation that enables timely intervention.
  • The extent of fraud is determined by examining related people and the organized activities behind them.

Solution:

  • With the insurance fraud detection tool that we have created with advanced analytical systems, experience on know-how, data science and risk calculation methods, organizations and companies have the capabilities to also create 24/7 scenario-based fraud alarms, have predictions and detect relations between events and people, which are easily and quickly available by using structured and/or unstructured, internal and/or external data.
  • Link detection, models, visual links, and incident analyses can be also performed in other related insurance companies’ fraud prevention systems.

Solution:

  • The company’s own resources, distribution channels and/or supplier data and large data environments collected from open sources are analyzed instantly with tabular and visual link analytical methods.
  • Anomalies and fraud are detected by observing the activities of the channels on full-time basis.
  • Various fraud scenarios work with autonomous processes and by alarm generation that enables timely intervention.
  • The extent of fraud is determined by examining related people and the organized activities behind them.