Fraud Analysis & Revenue Assurance with QlikView

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The landscape of fraud is constantly changing with fraudsters always looking for new and innovative ways to cheat the system. Existing Fraud Management Systems (FMS) and dashboards are good at tracking recognised patterns when the scam is understood and when we are actively looking to manage it. However, there is still the need for the analysis across often silo-ed, amorphous, high volume data sets in near real time. With this backdrop, and with fraudsters learning more about our systems, both macro and micro frauds have become harder to detect, and when found, the path to trace them back to their source can be complex.

With these challenges in mind, Project Brokers has developed a QlikView application which enables a user to effectively import, prioritise and visualise data to uncover and trace fraud and revenue assurance issues.
The ability to quickly drill into a macro trend to uncover the underlying calls and users, allows an analyst to highlight subtle macro trends, and weak signals of fraud that would otherwise go unnoticed by fraud systems.

QlikView is the most successful visualisation tool on the market, allowing you to graphically see trends, and spot outliers at a glance. Furthermore, being able to quickly manipulate previously silo-ed data sets, and see unassociated trends enables a faster ROI. This solution is not designed to replace your FMS, but to uncover new fraud, minimise loss and help formulate your business strategy.

Through ad hoc data discovery, the application allows you to explore and understand your data in a way that was previously not possible, spotting the new fraudulent behaviour.

In addition to analysing macro trends, the application also provides the ability to analyse micro trends to gain insights from customer and usage behaviour, for example time phasing trends, network mapping and customer segmentation.

Improvements can also be made to the quality of service by identifying new quality of service issues from misconfiguration to faulty and poorly performing equipment.

Other benefits of using the QlikView application are demonstrated through the user experience. By spotting anomalies that often cause frustrations to highly profitable users, lead to a poor user experience, and limit ARPU (Average Revenue Per User), the overall user experience is enhanced.

A better understanding of bill shock can also be gained as the application highlights potential trends that can be out of line of a user’s normal spending behaviour causing abnormally high charges.

Our Flash Balance Sheet can help you to:

• Identification of new fraudulent behaviour
  
  
• Increased Revenue Assurance
  
  
• Improved understanding of causes to bill shock
  
  
• Improved data quality and quality of service
  
  
• Enhanced User Experience
  
  
• Fast turnaround

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More Information

To organise a demo, or for more information on our Fraud Analysis and Revenue Assurance application please get in contact: enquiries@projectbrokers.com

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