Fall 2016 HR Data Trends report
This report leverages machine learning to analyze the top data-related problems that exist within the HR industry. Recruiting teams are aggregating, storing, and making decisions based on more candidates profiles than ever before, making data management a major challenge. Going forward, mid-market and enterprise recruiting teams will see a rise in AI and machine learning API based technologies to automatically verify accuracy, enrich data fields, standardize data fields, deduplicate profiles, and even make predictions.
Top data management issues current facing the industry
Data inaccuracies in the average ATS, broken down by field and percentage
New insights on how a lack of standardization impacts searchability
A granular look at ATS data fields that are missing or include duplicate data