Improving HR with Predictive Analytics

Detailed insight and knowledge can be a big trump card in the modern corporate world. Uncovering hidden patterns, market trends, candidate preferences and other useful business intelligence based on actual data is undoubtedly beneficial. This is where predictive analytics comes in. Predictive analytics is the process of examining large sets of available data (big data) that will bring information to light to allow users to make predictions for the future. Primarily, the goal is to help companies make more informed business decisions.


During the 2016 World Talent Forum, IntraWorlds had the opportunity to interview the Chief of Operations for PricewaterhouseCoopers (PwC) in the United States, Roger Wilkes.  At PwC, predictive analytics plays an essential role and assists with things ranging from improving decision-making and strategy development processes to determining the needs of the clients. In the following video, Roger sets the scene and introduces us to predictive analytics:



Predictive analytics also creates new opportunities that are beneficial for all HR core processes. With the information collected, a business can devise statistical models that measure and anticipate probabilities, while predicting forthcoming behaviors and trends in many HR areas. Moreover, predictive analytics can leverage and realize optimal benefits from HR data by connecting the data source to a strategic business outcome. To give you a taste of how predictive analytics can influence and benefit HR decision making, here are some examples of the most relevant areas for predictive analytics in HR:


  • Employee Loyalty Analysis/Attrition Risk Management
  • Employee Sentiment Analysis
  • Employee Fraud Risk Management
  • Predicting HR Capacity and Recruitment Needs
  • Predicting Talent Acquisition Pipeline
  • Candidate and Employee Profiling


Predictive analytics also plays an important role in IntraWorlds’ solutions. For example, our solutions help clients build talent pools and predict candidate pipelines based on data from past candidates. Thus, talent acquisition leaders can better plan their investment needs and focus on fueling the candidate pool to provide a solid candidate pipeline for upcoming recruitment needs.


All things considered, predictive analytics provides HR and the entire organization with additional fundamental insights. However, as highlighted in our recent blog post, “The Digitization of HR & Trust,” analytics must respect data privacy and data security as well.


We would like to thank Roger Wilkes for his participation in the videos and for sharing his perspective on predictive analytics with us.