UC Davis Explores Link Between Analytics and Hiring

UC Davis’ Graduate School of Management recently published an article from Assistant Professor Gina Dokko, who also serves at Quantcast as a Senior Learning & Development Specialist.

In the piece, she talks about the growing role analytics plays in addressing human resources management gaps, “shortages, and mismatches by enabling more effective recruitment and retention practices.”

Many companies already have relevant employee data, like “prior work experiences, skills, recruitment source and job performance” they can use to “improve productivity and reduce turnover.” According to Dokko, few companies “fully use these data to make decisions about hiring and managing talent.”

There are big questions at stake here, like how effective are the recruiting channels that companies use and is the cost of admission worth it in the long run?

The article speculates that companies would have a firmer grasp on “how much bang they get for their recruiting buck and how to allocate recruiting resources” if this data were “tied to job performance, job satisfaction, mobility and turnover data throughout an employee’s tenure.”

Another crucial point the article makes is about the relationship between employee satisfaction and the quality of data collected. “Analyzing survey data is critical to understanding the strengths and limitations of the data collected from employees, which can be used to improve the corporate climate and reduce turnover.”

regions: San Francisco

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