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The End of the Job Title: The Prospects of Analytics in the Staffing Industry and How to Deliver Them
Abstract
The staffing industry, despite being a global, multi-billion dollar business, has not yet widely exploited the use of business intelligence to make companies more competitive. Staffing companies are far removed from developing enterprise wide analytics and their analytical capabilities are either impaired or localized in their approach. Business intelligence commonly used in many other industries to optimize processes, reduce costs, or develop new services is dormant in staffing. This chapter analyses some of the root causes that impair the industry’s ability to develop analytics. While some originate in specific market conditions that are reflected in the design of IT systems, it is the absence of a common nomenclature to classify job categories that prevents consistent data management and the ability to integrate data across divisions and geographies. The chapter introduces the application of information extraction and expert system to generate artificial job classifications that could replace existing ones, which are largely based on conventional semantic notions. Under the assumption that companies in the staffing industry can deploy shared and common job classifications across their IT systems this chapter presents a range of service improvements, new services and data driven insights that are presently unrealized.
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