Today — at a time when hiring, new job creation, and voluntary turnover are all at 5-year highs — there is no shortage of examples of CEOs making bold (albeit more “gentle”) talent policy moves: In the wake of high-profile announcements about unlimited vacations and $70,000 annual minimum wage , the CEO of Boxed revealed that he will pay the college tuition for the children of his employees. Prove the retention problem. MORE

AI-powered computers can apply human-like reasoning to problems, and these systems get progressively better because they “learn” through exposure to data without human intervention. Machine learning underpins data analytics that drives better decision-making and stronger talent acquisition. These powerful applications can view your workforce according to an unlimited number of segments of any size and find hidden patterns. Retention and Talent Management. Analytics. MORE

I met with a business the other day that has four dedicated PhDs in their HR department to handle “big data” analysis. Most HR departments aren’t that advanced yet, but the ones that are taking analytics seriously will have a huge advantage over their competitors. As HR teams start to get better with their people analytics, everyone in the company will share the responsibility of measuring and optimizing these numbers. HR analytics improves employee engagement. MORE

A human resource management system (HRMS) integrates all of the core and strategic HR functions into one solution, improves recruiting, offers a self-service portal, automates data entry and administrative processes, streamlines information in a central database, reduces payroll and compliance errors, and facilitates data-driven strategies. Human resource management system (HRMS) – HCM modules, plus payroll, time and attendance, and performance tracking. MORE

The technology itself is not new but the applications for human resources have only recently started to gain traction and they are already making a significant impact. Analytics and reporting on relevant HR data. Reducing staff-turnover. Track, guide and enhance employee growth and development. Real world applications of machine learning in HR. Here are a few existing applications of machine learning for HR. Applicant Tracking & Assessment. MORE

the number of assessments, number of applicants etc). Their testing system, HireSelect, is a SaaS (software as a service) solution that enables organizations to better manage their most important asset – their human capital. Criteria provides pre-employment assessment tools that increase the effectiveness of the employee selection and retention process. Nord Stream 2, Varian Medical Systems, Swiss Re. MORE

I met with a business the other day that has four dedicated PhDs in their HR department to handle “big data” analysis. Most HR departments aren’t that advanced yet, but the ones that are taking analytics seriously will have a huge advantage over their competitors. As HR teams start to get better with their people analytics, everyone in the company will share the responsibility of measuring and optimizing these numbers. HR analytics improves employee engagement. MORE

Increase employee retention and engagement. Applicant tracking – plan and streamline your process. Rarely will you see potential applicants simply apply for a job; if the job fits what they’re looking for, they’re going to have questions on their mind: “What kind of company is this?”. Initial application: Make it easy to fill out the required entries. Referrals help you: Improve retention. You can keep all referrals in one place and track their progress. MORE

However, one common complaint on Glassdoor is directed at employers who fail to notify the applicants of the status —or even receipt of, their application. Out of the 150,000 applicants, the company hires roughly 3,500 people each year. They recognized that this large segment represented not only disappointed applicants but also customers, future-former clients, and even prospects. Employee Engagement and Retention. Employee turnover HR Trends MORE

In today’s competitive business landscape, organizations are increasingly turning to analytics to give them the answers they need to make decisions with greater confidence. However, while the number of businesses taking advantage of analytics may be steadily increasing, the average person’s understanding of analytics remains vague. So, what are analytics and how are they different from reports? Reports provide data; analytics provide insight”. MORE

For hourly workers, turnover is a major problem in the first 120 days where approximately 50% leave their new jobs. Track the progress of forms and paperwork needed by HR. Offer task tracking for new-hire activities such as training or new-hire events. All human capital management processes need to work together to keep organizations running efficiently, and every gap between systems increases the chances of information being out of sync and inaccurate. MORE

Performance Tracking Tools. Performance management systems are used to manage employee progress, performance, and development in relation to organizational goals. Retain historical review data or integrate with third-party applications where historical data can be maintained. The HR TechStack for Performance Tracking Tools. HR TechStack – Performance Tracking Tools. It is all there – all of your workforce data – in one system, and that is important. MORE

Being a people analytics expert doesn’t mean you need years of technical experience. Rather, it’s about knowing where to focus and using the right technology to make analytics more accessible. In Aligning Compensation Systems With Organization Culture , the authors state: “Depending on how [compensation is] designed, communicated, and managed, it can positively or negatively influence an organization’s culture and impact an organization’s optimal performance.”. MORE

We’re breaking it down step-by-step, from a common definition for recruitment operations to which metrics you should be tracking. Take the time to break down each phase in your hiring process: from posting a new job to screening applicants to scheduling interviews, making a final decision and extending an offer. Application procedures must be smooth and painless. Systems management. Reporting and analytics. But which metrics are the most important to track? MORE

2017 saw a steep rise in employee turnover rates, and 2018 doesn’t look any better. Work Institute’s retention report predicts a hike in voluntary turnover. The major issue is that retention isn’t owned by anyone in the organization. Whatever the reason, turnover impacts team cohesion, employee morale, productivity, and overall culture. Inbuilt analytics to effectively analyze and spot opportunities, and pinpoint problems. MORE

2017 saw a steep rise in employee turnover rates, and 2018 doesn’t look any better. Work Institute’s retention report predicts a hike in voluntary turnover. The major issue is that retention isn’t owned by anyone in the organization. Whatever the reason, turnover impacts team cohesion, employee morale, productivity, and overall culture. Inbuilt analytics to effectively analyze and spot opportunities, and pinpoint problems. MORE

However, that doesn’t mean that HR teams at SMBs can’t benefit from data integration and analytics similar to what large organizations use. According to the SMB Group , only around 18% of small businesses and 57% of medium businesses currently use business intelligence and analytics solutions. HR expert Josh Bersin has suggested that “talent analytics” is a better term for big data applied to Human Resources. Data analysis can be used to support a wide variety of HR concerns. MORE

For hourly workers, turnover is a major problem in the first 120 days where approximately 50% leave their new jobs. Track the progress of forms and paperwork needed by HR. Offer task tracking for new-hire activities such as training or new-hire events. All human capital management processes need to work together to keep organizations running efficiently, and every gap between systems increases the chances of information being out of sync and inaccurate. MORE