Using people analytics, you can uncover critical insights from employee feedback and identify skills gaps, potential leaders, and disengagement warning signs with advanced AI-powered tools.
With LoomPin, gather and connect employee data throughout their entire lifecycle, from onboarding to exit, to make informed decisions on resource allocation, job specifications, and workforce planning based on data-driven insights instead of emotions.
Unlock the potential of big data with advanced statistical analysis and predictive analytics to identify impactful actions for reducing attrition, developing talent, and driving business growth.
LoomPin AI is a part of the Experience Management Platform that makes statistical analysis easy for everyone. It used to be that only one tech-savvy person with a spreadsheet could do people analytics, but now, with LoomPin AI, the entire HR team can deliver insights and expertise.
By conducting advanced analysis of HR data, you can enhance employee experience at scale by identifying the significant touchpoints and measuring engagement from the recruitment process to offboarding, thus gaining insights into what drives engagement at every stage of the employee lifecycle.
People analytics software replaces guesswork in hiring, engaging, developing, and retaining talent. By utilizing data analysis, you can manage employee performance with a more reliable approach, rather than making decisions based on intuition or past experience.
Advanced analysis of employee engagement, retention, talent attraction, and benefits can provide valuable insights into what employees value the most and what employees do not like. Understanding their preferences regarding their experience, benefits, and growth opportunities can help shape performance management systems, rewards programs, and job descriptions to improve employee satisfaction and retention.
By utilizing user-friendly dashboards and sophisticated predictive analytics, you can leverage data to identify and address underlying issues that might have gone unnoticed, such as hiring biases, unhealthy workplace cultures, inadequate resource distribution, and skills gaps.