Transforming talent acquisition: An introduction to predictive analytics in recruitment
In the age of data, recruitment is undergoing a seismic shift. Predictive analytics is at the forefront of this revolution, supporting talent acquisition with data-driven insights while facilitating more precise decision-making than ever before. But what is predictive analytics and how exactly can it enhance your recruitment processes?
Predictive analytics (PA), simply put, uses historical data to forecast future outcomes. In recruitment, predictive analytics is like having a crystal ball that provides insights into hiring lead times, future employment needs, potential employee performance, and retention rates.
Strapped for talent? Bootcamps are your answer
IT is experiencing a skills gap crisis. According to McKinsey, nearly 90 percent of companies are already experiencing one or will within the next few years.
The previous generation of IT workers has or is aging out of the workforce, taking their expertise with them. As all of their historical knowledge leaves the workforce, demand for talent -- particularly in areas like DevOps, automation, cloud, and cybersecurity -- is heightened. However, the number of tech jobs available continues to outpace the number of hires. One study found nearly 90 percent of leaders feel unprepared to fill that gap.
Why talent is key for businesses who want to harness the power of data
For decades, businesses have been using data for growth. Today, the importance of utilizing data to gain insights into customer behavior, market trends and business performance continues to develop. However, harnessing the power of data requires more than just the right tools and technology -- it also requires the right talent.
Technological developments, such as artificial intelligence (AI) and the Internet of Things (IoT), have resulted in data and data analysis providing increasing opportunities for businesses to improve their competitive edge. Data is a valuable resource in all sectors, but it is only useful if it is analyzed, interpreted and applied correctly -- this is where talented individuals with an understanding of data science and analytics come in.