Hiring the right people is critical to your organization’s success. However, without using external data such as social media profiles, market trends, and competitor insights, hiring decisions often become subjective, leading to bad hires, wasted time, and missed opportunities.
How External Data Transforms the Hiring Process
By combining internal candidate data with external insights, organizations can:
✅ Identify top talent faster and more accurately
✅ Streamline recruitment and save valuable time in the hiring process
✅ Improve alignment between candidates and company values/mission
✅ Enhance decision-making with data-backed hiring predictions
How It Works
🔹 Cluster Analysis to categorize candidates into best, medium, and poor fits based on shared characteristics
🔹 Regression Analysis to predict the likelihood of candidate success based on various factors
🔹 Tree-Based Models (e.g., Random Forests) to optimize decision-making based on market and competitor data
Real-World Impact: Data-Driven Hiring in Action
At Intermountain Healthcare, a data-driven approach to recruitment helped decrease employee turnover by 27% within the first year, saving the organization millions in potential costs.
Make Smarter Hiring Decisions with Data
Don’t leave hiring to guesswork. Data-driven recruitment not only improves efficiency and reduces turnover but also ensures the right candidates are hired for the right roles.
📩 Want to learn how external data can supercharge your hiring process? Contact us to get started.
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