The CandidateIQ Blog
What is Data Quality Management (DQM)?
Data is the foundation of modern business operations, driving everything from customer interactions to strategic decision-making. However, when data is inaccurate, incomplete, or outdated, it becomes a liability rather than an asset.
The 4 Types of Staffing Leaders Fixing Their Data
Learn how four types of staffing leaders are solving data issues inside Bullhorn to drive efficiency, automation, and recruiter performance.
What Execs Must Know About Candidate Data Quality
Discover how executive leaders are turning stagnant databases into ROI-producing assets that support growth and reduce sourcing costs.
Fixing 100,000 Incorrect Addresses in a Bullhorn Database: A Case Study
Recruiters rely on accurate data to source and place talent. Without structured data management and a process to identify and correct problems, issues like incorrect addresses will surface—and negatively impact revenue generation.
How Inbound Sourcing Connections and Integrations Create Bad Data (And How to Fix It)
By proactively addressing these issues, staffing firms can ensure their inbound sourcing efforts remain an asset rather than a liability, keeping databases accurate, efficient, and easy to manage.
