Fraud Analytics
An Oracle Platinum Partner, Vertice has one of the largest, dedicated Oracle-certified Analytics practices in Europe. Our specialist Oracle service offerings can assist, enable and add value to your Oracle solutions via design, implementation, user adoptions and support.
Fraud analytics blends analytical technologies and techniques with human experiences to help identify possible unauthorized transactions, such as fraud and/or corruption transactions, either before or after the transactions have been completed. The fraud analytics process includes the collection and storage of relevant data and using analytics to identify trends, inconsistencies and anomalies. The findings are then translated into insights that can allow a organization to handle potential threats before they occur and establish a proactive environment for fraud and corruption detection.
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In Addition we also offer the following services
Use Oracle Machine Learning (OML) to identify and detect fraud which enables actionable insight:
Summary of fraud levels in the business
Ability to perform ‘What If’ analysis to understand the impact on the business
Identify new fraud patterns within the data
Ability to do rapid prototyping with agile incrementations
Ensuring security and governance by design through data redaction and encryption
How does Fraud Analytics through Oracle benefit businesses?
Enable one source of the truth for governed analytics
Ability to explore data as a team and rapidly apply algorithms to the data within the database
Provides a centralised and secure view of fraud within the organisation.
Ability to observe and question augmented analytics in the production environment, with a cockpit style view of the analytics gone live
Companies trying to detect fraud frequently deploy data and analytics (D&A) to look for transactions which are anomalous or suspicious. If a detection program is to succeed, it must have access to reliable data, and be trusted to perform as expected by the company. Executives need to trust the analytics would operate as expected. Oracle Autonomous Data Warehouse (ADW) provides the perfect environment, built on Exadata infrastructure, with a variety of supervised and un-supervised learning models. These can be accessed through a collaborative analytics platform, a Zeppelin notebook, to enable data analysts to share and discover new insight.