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Data-Driven Solutions to the Gender Gap in Technology

Data-Driven Solutions to the Gender Gap in Technology

This IDC Perspective focuses on the approaches to help solve existing issues in gender bias by using data analytics tools to improve hiring processes and work environments to achieve greater gender diversity."The majority of companies are aware that the representation of women in the technology industry is persistently low, which is largely caused by a biased hiring process and insufficient support for employee retention. Companies can use data analytics and machine learning tools to address systemic gender bias to bring more women into the technology workforce and retain them as they progress through their careers," according to Meng Cong, senior analyst, Measurement and Forecasting, IDC Canada.

Please Note: Extended description available upon request.


Executive Snapshot
Situation Overview
Dissection of the Cause
Why Data Analytics and Machine Learning?
Specific Human Resource Use Cases Where Analytics Can Address Gender Gap Issues
Hiring Process
Create Job Postings
Choose Platforms to Post the Jobs
Select Qualified Candidates to Interview
Hold In-Person or Phone Interviews
Make an Offer to the Ideal Candidate
Employee Retention
Pay Parity and Promotion Opportunities
Work Culture
Advice for the Technology Buyer
Learn More
Related Research
Additional References
Synopsis

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