Project - Machine Learning in Data Quality Space – Anomaly Detection
Project Description: In the current data age, quality of the data becomes center place for any enterprise data strategy. The issue of poor data quality is hindering organizations from performing to their full potential. Gartner’s data quality market survey estimated that the financial impact caused by data quality issues is in millions. Traditionally organizations have used a combination of manual and automatic methods to tackle this issue in siloed approaches.