Today, businesses across industries face difficulties in keeping track of their workforce’s skills and capabilities, leading to missed opportunities, wasted resources, and mismatched project assignments.
In a dynamic global skills landscape where job descriptions are ever-evolving, many organizations think their talent pool is scarce on skills. It’s because they lack visibility into their workforce’s knowledge, skills, and abilities.
Employees today want more opportunities to learn and grow within their companies. So, filling a position internally must be easy, right? But how does an employee know about available opportunities, and how does a company sift for a resource internally before making costly external hiring choices.
Did you know that replacing a single employee can cost your company up to 200% of their annual salary? That’s why employee turnover has become a nightmare for every company.
Predictive hiring helps you choose the best people for a job by analyzing past recruitment processes using data analysis and machine learning. This method forecasts which applicants would fit a job role well. In fact, 84% of recruiting professionals feel that analyzing talent data to make decisions will become invaluable in the next five years.
It’s been said and heard a hundred times that ‘the people’ are the real strength of any organization. But this fact stays irrelevant if you lack a bird’s eye view into their specific skill set as well as current job performance.
Growing your company in a world where technology and markets are always changing means using your team's complete skill set and knowing what skills you have and what you'll need soon.
The contemporary workplace is undergoing a swift transformation propelled by the escalating demand for tech and AI skills across a spectrum of job roles. This pivotal shift has brought forth Skills-First Transformation (SFT) as a fundamental organizational imperative.
In today's fast-changing job market, the traditional criteria for hiring are being challenged more than ever before. The rise of "new collar" workers — talented individuals who may not have a higher education or come from typical professional backgrounds — is changing the way we think about professional settings. These individuals bring unique skills and a fresh perspective, often finding their place in tech, digital, and various hybrid sectors.
iMocha recently hosted a gathering of industry experts to explore the concept of a 'Skills-First' approach and its potential advantages in navigating the evolving landscape of workforce management amidst ongoing technological and market disruptions. The webinar, titled "People Go Beyond Job Titles: Leveraging 'Skills-First' to Unlock Employee Potential," offered insights into talent management and how to address the challenges posed by changes and talent shortages.
Transitioning from a traditional telco model to a techco model represents a shift in the business approach, moving from providing telecommunications services to offering end-to-end technology solutions. This transformation can bring several advantages, such as increased revenue and sustainable growth. To achieve a successful transition, organizations must focus on talent management and adapt to new practices and strategies. In this article, we'll explore why telecommunications companies are making this transition and how Skills Intelligence and AI-driven skills gap analysis can support this shift.
