Posts Tagged ‘fraud’
Principles underpinning a fraud and abuse monitoring system
Anomaly detection is essential in monitoring human and systems interactions that are too complex or numerous for a human alone to comprehend. Any organization delivering complex services to its customer base through intermediaries will be the subject of fraud and abuse by people in the service delivery chain. Research demonstrates that losses incurred by the…
Read MoreTop 7 guiding principles for anomaly detection systems
Anomaly Detection Systems are built to identify and measure the root cause of error, abuse, fraud and waste. Anomaly detection also referred to as outlier or novelty detection, identifies events or observations that deviate significantly from the expected result, or a majority of the data, or do not conform to a well-defined notion of normal…
Read MoreHow to build an integrity monitoring platform to minimise fraud, error and waste within a complex market?
RoZetta Technology is a specialist data science technology company using advanced analytics and cloud-based data management to provide a foundation to optimise value creation for its clients. Anomaly detection is just one of the methodologies the RoZetta data science team employs to fulfil the value creation goals. This paper has been prepared by: Phil Anderson,…
Read MoreThis is not science fiction: anomaly detection systems manage masses of data to boost profits, cut fraud and wipe out waste
![Article Header - Anomaly Detection [6.5x3.5]](https://www.rozettatechnology.com/wp-content/uploads/2022/05/Article-Header-Anomaly-Detection-6.5x3.5-1024x551.png)
Read the article below or download the PDF version here. When endeavouring to explain the function and value of an anomaly detection system, David Wright turns to science fiction, specifically Star Trek’s Tricorder – a (fictional) multifunction device aboard the USS Enterprise that performs sensor environment scans, data recording, and analysis. “Almost every company receives…
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