Transforming the World of HR
HR analytics aim to provide insight into how best to manage employees and reach business goals. Because so much data is available, it is important for HR teams to first identify which data is most relevant, along with how to use it for maximum ROI.
In order to successfully leverage HR analytics, businesses should gather data and then use it for decision-making and process improvement, the same article explains. Now that more businesses realize that data helps them hire and retain the right talent, companies are investing in HR analytics tools, along with trained professionals who understand how to mine and apply them. Deloitte reports that, while only 24 percent of companies felt ready for analytics in 2015, that number increased by a third to 32 percent in 2016. The same report notes that modern talent analytics combine data from HR and other business functions to address challenges related to:
- Selecting high-performing job applicants
- Identifying characteristics of high-performing sales and service teams
- Analyzing engagement and culture
- Identifying high-value career paths and leadership candidates
Analytics tools and technology are now more accessible than ever. Companies can purchase analytics solutions off the shelf and adopt integrated, cloud-based HR systems easily. This puts integrated HR data within reach for both small and large businesses. However, it is important to note that those at the forefront of HR analytics go beyond simply utilizing tools. Forbes points out that leading companies invest in sound data management, building strong relationships with finance and operational analytics teams, communications and other “critical” skills. A multidisciplinary approach to applying HR analytics is the best way to identify and address areas for improvement.
Applying HR Analytics in the Workplace
HR analytics can help businesses make smarter decisions in areas such as the following, according to Visier:
Turnover
Utilizing data enables HR teams to predict the risk of turnover by function, location, and position. In addition, trained analytics professionals can use HR analytics as a method of “modeling the scenarios in advance to reduce the losses.”
Retention
HR analytics can identify where the highest risk of turnover is, along with which individual employees are at risk. This information is useful because it arms HR professionals with knowledge related to resource allocation and training.
Risk
Analyzing data can aid in building profiles concerning “which candidates are at risk for leaving prematurely and when” as well as likelihood of decreased performance.
Talent
In terms of new hires, HR analytics can identify which new hires will be high performers. This information helps determine “if they should be shifted into fast-track programs.”
Futurecasting
Among the most valuable applications of HR analytics is modeling the changes that may be in the company’s future. HR teams can identify “what the impact of talent hiring, retention and engagement could be.”
Of course, there are other ways to apply HR analytics in the workplace. Teams can better allocate resources to the talent pool such as cost per hire, revenue and expense per employee, Startup Focus says. Data analysis can help define retention and hiring plans as well. In general, predictive analytics can identify common factors and important patterns. HR professionals can then make informed recommendations in terms of policies and decisions that may affect company culture.