The human resource industry will continue to undergo advancements in 2019. Developments in technology will further streamline processes and increase efficiencies to improve the effectiveness of HR staff. Branding will receive even more emphasis to shape how companies are viewed by current and potential customers. Shifts in employment styles will provide greater flexibility for increased work-life balance.
Data analytics will be more widely used to drive business performance. For instance, analytics will help companies understand what drives performance, leadership effectiveness, and turnover. Analytics also will uncover underlying inequities that may otherwise go unnoticed, such as biased hiring practices, lack of diversity, and pay inequality. Predictive analytics will estimate talent metrics such as performance potential or flight risk. Further, analytical benchmarking will allow businesses to compare themselves to peers and competitors in areas such as recruiting, learning and development spending, and organizational design.
Recruitment management systems will further streamline the hiring process by discovering, engaging, and nurturing the best talent. Also, recruitment software will assist with targeting and optimization so HR staff can focus on refining the onboarding process. Additionally, learning management systems will facilitate better team training and communication. Further, chatbots and related technology will handle scheduling, provide basic information, and perform other low-level tasks to free up time for HR to build relationships with candidates.
Because companies are better understanding how important managing their reputation is, they will be exercising more control over how current and potential customers view them. Rather than simply monitoring how they are represented online, organizations will use more streamlined and optimized software integration to handle low-level functions. Companies will also focus more on building a culture based on team values and needs by marketing their employer brand with their values as the focus.
Close to half of the workforce will be moving toward temporary, contract or freelance work options rather than full-time jobs. Companies will grow their network, increase engagement, and save money by hiring highly skilled workers on an as-needed basis rather than as full-time employees requiring benefits.
Finding patterns within big data allows AI to draw correlations, make predictions, and assist with decision making. AI also provides in-depth insight about workforce metrics to improve data-based decision making. For instance, leaders can use the information to solve organizational problems and optimize efficiencies. They can also improve the employee experience with tools that flag disengagement or other issues and suggest solutions in real time.
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