Workforce analytics software collects, analyzes, and visualizes employee data to help companies make data-driven decisions about their workforce. With hundreds of different workforce analytics tools currently on the market, choosing the one that’s right for your business can be difficult. In this post, we’ll review some of the best workforce analytics software tools available today and help you understand how each one works.

The gears of the modern workplace are shifting. The surge in adoption of artificial intelligence (AI) and automation shows no signs of slowing down, with at least 35% of global companies using AI in 2024. Repetitive tasks that once clogged our calendars are now devoured by AI in seconds, freeing us up to focus on the aspects of our roles that truly matter: problem-solving, creative thinking, and strategic decision-making.

In evolving workplaces where more teams are working distributed across locations, organizations face the challenge of staying in sync with how remote employees work and what efficiency distributed workforce achieves. Leveraging employee monitoring software can enable businesses working with distributed teams to gain the actionable insights that matter.

Are you looking for the best Attendance Apps for Employees in 2024? In the modern business atmosphere, it is essential to accurately and effectively monitor attendance. The American Payroll Association report, stating that you can save up to 4% on payroll costs by automating attendance supports our claim. Another report by Deloitte states that around 70% of companies consider that accurate attendance monitoring increases workflow and productivity.

To improve productivity and project profitability without burning out your team, you need to master billable utilization. Make the most of your team’s time and talent with our billable utilization guide, which covers how to calculate billable utilization, its biggest benefits, and how to improve it.

This article was originally published on Reworked. We live in an era where technology zips and zags through our lives. AI is seemingly everywhere—yet it’s also entangled in a mess of buzzwords and grand promises. In many ways, AI is a transformative technology. But when we look back on history, its promises and challenges are not all that unique. History teaches us that technology implementation is always complex and rarely goes as planned.