Today’s leaders are using data analytics as a decision-making tool. It provides insight into past business activities helping executives make decisions that support better outcomes. The technology can be especially effective in talent acquisition.

Data analytics can provide insights based on past hiring campaigns. It can identify the key demographics of your talent pool. Analytics support predictive hiring needs. Learn the many ways it can support your organization.

How Does Data Analytics Support the Hiring Process?

Data analytics process, collect, analyze, and interpret data to support the hiring process. It sources information from job portals, social media, and employee surveys so companies can make better hiring decisions. Rather than having executives go with their gut, possibly making the wrong decision, it provides a more scientific approach supporting higher levels of success.

What are the Benefits of Data Analytics in Talent Acquisition?

• Improved Candidate Sourcing: Data analytics collects big data across various platforms like social media sites, networking sites, and job portals. This process opens various candidate sourcing opportunities. Companies may even find candidates not actively looking for a job who are right for the role. Analytics also identify patterns in candidate behavior to determine when candidates are most open to new opportunities.
• Provides Hiring Metrics: The technology provides metrics of the hiring process including the time, cost, and source of hire. These metrics help companies address bottlenecks in their hiring process to achieve higher levels of efficiency.
• Improves the Candidate Experience: Companies must provide an optimal interviewing experience to candidates. Failure to do so can damage the organization’s reputation. Data analytics gain insights through surveys, feedback, and application drop-off rates to identify pain points and areas of improvement. For example, a company may use these analytics to simply overly complex applications or provide a more personalized approach in the interview stages.

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