AI-based Outlier Detection Platform
An enterprise data management firm was looking for a better way to find outliers in fixed income data. These included incorrect prices, ratings and other data fields. It had tried to manually build a series of rules to analyze the data, a time intensive process. Despite this, too many anomalies were slipping through. The firm thought that ML techniques could help, but did not have the expertise on staff to try them.
DataArt developed a state-of-the-art outlier detection platform based on machine learning technology. The system automatically ranks potential anomalies and brings the most likely outliers to the top of the list in real-time.
The resulting technology is easily adaptable to other uses, such as exception management, trends detection, fraud detection, etc.