Hiring and talent acquisition are getting more and more difficult every day. Recruiters and HR managers have to work with a large amount of data and it is very difficult to analyze all of it manually. Having a lot of data to work with is great, but difficult if you don’t know how to use it. Using talent-related data can help us make better business decisions and hire the best talents for the company. That’s where predictive analytics can help the recruiting purposes by providing better insights. Here is a small explanation of the importance of using predictive analytics in the talent market.
What is predictive analytics?
Predictive analytics is simply a type of data analytics that uses data to find patterns and make predictions. The predictions may not be precise, but they show us what is most likely to happen based on past trends and analytics.
Predictive analytics in recruitment
There are countless ways to use past data and patterns to predict future decisions. Using predictive analytics with new machine learning or artificial intelligence-based technology in the recruiting process can help us make better hires. It can also help analyze data from past recruiting strategies, predict future strategies and hiring decisions, and be helpful when planning the hiring process.
Why is predictive analytics important in hiring?
Many things are happening in the talent industry right now. These innovative technologies help employers and HR managers make better and faster decisions. They can help them grab the best talents immediately for the open positions and make better offers to the candidates while providing a good candidate experience.
Some may think that recruiters could do all these analyses on their own. But in actuality, they require a lot of time, effort, and manpower. That’s why using software or a tool is essential.No matter how large the amount of data is, machine learning or artificial intelligence algorithms can generate the results within seconds.
Predictive analytics can be used in almost every aspect of the hiring process. For example, talent managers can use it for candidate sourcing by tracking the source channels of best-performing hires while employers can use it for candidate screening and candidate selection.
Finding the right tool that can help you do these things using predictive analytics can be difficult. Unnanu is one of the best hiring platforms that includes a proprietary, proven AI-powered resume evaluator designed to identify the most qualified candidates faster and remove resume bias. Its predictive analytics-based technology can make the whole hiring process a lot easier.
If you are an employer, get started with Unnanu Hire to find the most qualified candidates.
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Learn more about using AI to predict and select the best job candidates by a virtual meeting on Tuesday, September 21st, 9AM — 10AM CST. Join the staffing experts at PMCS Services, an Austin-based, tech-forward firm specializing in IT staffing services, for a 1-hour hands-on workshop designed to show you how to incorporate AI technology into your day-to-day staffing operations. Click here to sign up for the event.
