AI-based Outlier Detection Platform

Industrie

Dienstleistungen

Challenge

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.

Solution

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.

Benefits

ML System Detects A Wider Range of Outliers
Outsourcing Was Quicker and Cheaper Than Building Internal ML Team
ML System Specifically Designed to Minimize Maintenance Costs
Enhanced Customer Experience Due to Higher Data Quality
Fewer Data Quality Investigations

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