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活用了資料驅動式解決方案,解除在IT產業的性別差距

Data-Driven Solutions to the Gender Gap in Technology

出版商 IDC 商品編碼 906086
出版日期 內容資訊 英文 12 Pages
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活用了資料驅動式解決方案,解除在IT產業的性別差距 Data-Driven Solutions to the Gender Gap in Technology
出版日期: 2019年08月06日內容資訊: 英文 12 Pages
簡介

許多企業認為IT產業中女性的活躍度低。作為其要素,採用流程的偏傾,及缺乏充裕支援體制的人力資源維持策略等。因此,產生採用資料分析和機器學習 (ML) 等最新技術,以提高女性的工作、晉升機會的動向。

本報告提供各企業對於解除性別差距(男女間的職務、待遇等的差距) ,資料驅動式解決方案的有效利用方法相關分析,資料分析解決方案的概要和有效性,具體場景 - 新人力資源的採用,員工的晉升、動機維持等 - 的有效利用方法,產業相關人員今後應採取行動等資訊,為您概述為以下內容。

摘要整理

概況

  • 原因的闡明
  • 為何,是資料分析和機器學習?
  • 專門人力資源的利用案例 - 以分析功能應對性別差距的問題
    • 採用流程
      • 職位的創造
      • 業務分配用的平台的選擇
      • 人力資源候補的選擇和面試
      • 直接/電話面試
      • 對合格者的報價
    • 員工連接留下
      • 平等的工資與晉升機會
      • 勞動文化,企業風氣

對技術買主的建議

參考資料

  • 相關調查
  • 額外的參考文獻
  • 摘要
目錄
Product Code: CA43803619

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.

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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