The demand for big data talent is growing rapidly. Many organizations are planning to increase their staff in big data and analytics in the upcoming year and estimated that big data staffing would increase significantly in the next few years.
A recent McKinsey study supports these findings. The authors predict that there will be a severe shortage of those who can analyze and interpret big data, predicting that by 2018, the United States could face a shortage of up to 190,000 workers with deep analytical skills and 1.5 million managers and analysts with the ability to use the big data analytics to make effective decisions. (Manyika et al, 2011.) This includes the ability to integrate findings from big data with knowledge derived from other techniques which offer different strengths and biases, such as focus groups and targeted surveys.
The increasing demand for big data analysts who can crunch and communicate the numbers and the lack of managers and business leaders who can interpret the data means there is a growing talent shortage in the field. A survey conducted by The Big Data London group (in Raywood, 2012) found that 78 percent of respondents said there was a big data talent shortage, and 70 percent believed there was a knowledge gap between big data workers and those commissioning the projects (e.g., managers and CIOs). Another survey by NewVantage Partners (2012) found that 60 percent of respondents reported finding it very difficult to find and hire big data professionals, and 50 percent of respondents said it was very difficult to find and hire business leaders and managers who could identify and optimize business applications in big data.
This impending talent shortage will create a significant challenge for HR and talent management professionals responsible for recruiting, developing, and retaining a critical skill set that will soon be in high-demand. To help their organizations realize the full potential of big data, HR and talent management professionals must understand the fundamentals of big data, why it matters, and what skills their organizations will need to analyze and interpret the large amounts of data they collect.