The CandidateIQ Blog
Primary Data, Secondary Data, and Data Quality Management for Bullhorn
Effective data quality management for Bullhorn ensures complete and reliable primary and secondary data for better recruiting decisions.
Merging Two Bullhorn Databases After an Acquisition: Tips for Success
Merging two Bullhorn databases requires careful planning, structured execution, and continuous optimization. By prioritizing data quality, recruiter usability, and automation efficiency, staffing firms can ensure a seamless transition that enhances recruitment performance.
A Simple Deduplication Strategy for Bullhorn
A periodic, structured deduplication process can be far more practical for your team than an over-engineered solution. By focusing on the right data points, setting simple merge rules, and running reviews quarterly or bi-annually, you can keep your candidate database usable without making it an overwhelming task.
How Ops Leaders Reclaim Their Bullhorn Database
See how operations leaders are restoring trust in Bullhorn by fixing broken records, reducing duplicates, and enabling recruiter adoption.
