What is big data in human resource management?

Big data in human resource management refers to the utilization of the many data sources to gauge and enhance practices including recruitment, training and development, performance, compensation, and overall business performance. Big data in HR has made it possible to collect and assess data before, during, and after the hiring process to help inform hiring decisions and develop a more efficient workforce.

Big data can give HR managers the ability to monitor and track the efficiency of recruitment efforts to better identify the most efficient strategies that attract the ideal candidates. In this way, big data can streamline hiring processes and make it easier to narrow down large pools of candidates to a smaller, more qualified pool.

Also, big data can give HR departments the prospect to spot employee patterns and trends and develop programs that are designed to enhance loyalty and reduce turnover. With big data, HR managers can understand what’s necessary to not only retain top talent but to stay it also. 

There are many advantages of using big data in HR. Firstly using big data, we can recruit the best talent. Since most organizations have many competitors, it can be a real challenge to attract the most talented professionals. Through big data, HR managers can filter through thousands of resumes and narrow down their search to the most promising prospects. Without the use of big data, recruiting top talent would be a far more inefficient and time-consuming process.

 Big data in HR enhance employee motivation and engagement. Another advantage is that, By using big data, HR managers can quickly figure out what causes employees to leave and implement programs to increase retention.

 Through big data analysis, organizations can view HR patterns and trends, and use that information to form predictions about the longer term. Future forecasting provides HR managers the chance to improve their long-term HR strategy and avoid issues with hiring, retention, and performance down the road. Then the other advantage is that it improves training. Training can be an expensive and time-consuming part of the hiring process. Big data allows organizations to measure how effective a potential training initiative, which can reduce the risk of training programs that lead to poor employee retention. 

AIHR Learning Bite: What Big Data Is and How It Relates to HR Analytics

In a way that is easy to remember, Big Data is something that can be best described by “the 4 Vs”: Volume, Velocity, Variety, and Veracity. 

Even though in terms of volume and velocity, HR data score relatively low, HR does have access to a large variety of both structured – for example employee data, pay information, and engagement scores and unstructured data, such as performance reviews and email content. Likewise, in terms of veracity, HR data can be quite messy and rather unreliable. Most importantly, however, HR data most definitely holds value, which, when leveraged appropriately, it can uncover workforce risks, make better people decisions and help in building a competitive advantage for the firm. 

More specifically, however, the point of intersection between Big Data and HR analytics is marked by whenever we talk about predicting employee turnover or the number of HR self-service tickets to optimize handling time we are working with large quantities of data that help us generate new workforce insights. This means that Big (HR) Data is the input for HR analytics.

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What is big data in human resource management?

Simona Iancu

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What is big data in human resources?

Through big data analysis, organizations can view HR patterns and trends, and use that information to make predictions about the future. Future forecasting provides HR managers the chance to improve their long-term HR strategy and avoid issues with hiring, retention, and performance down the road.

What is meant by big data?

Big data defined The definition of big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs. Put simply, big data is larger, more complex data sets, especially from new data sources.

Why is data important for human resources?

People analytics and data can be used to significantly improve recruitment. Hiring people using better information will ultimately lead to better decision making.

What is data management in human resources?

Data Management, Defined The goal of data management is to help people, organizations, and connected things optimize the use of data within the bounds of policy and regulation so that they can make decisions and take actions that maximize the benefit to the organization.