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people analytics : ウィキペディア英語版 | people analytics People analytics is a rapidly growing area of business intelligence and big data technology that uses snippets of people-related data to optimize business outcomes and solve business problems. Experts within the field, including Ben Waber and Alex Pentland, contend that people analytics tools can be effectively applied across all parts of the modern enterprise in order to transform operations and workforces. The proliferation of electronic communications combined with big data advancements provides unprecedented insights for organizational managers via people analytics applications. == Applications == People analytics applications are capable of implementation across a range of industries, from public utilities to software firms. Additionally, people analytics is effectively applied to a wide variety of organizational units, including human resources (using retention data and talent acquisition) and sales (using outreach tactics and communication practices), as well as overall employee engagement. Data science research has repeatedly identified positive correlations between strong internal networks within organizations and employee productivity and engagement. People analytics tools are also capable of comprehensive analysis at multiple levels within organizations. Specifically, people analytics data can be reviewed at an individual level (e.g. for hiring purposes), at the unit level (e.g. to identify significant team-related trends), and at the organizational level (e.g. to identify optimal mix of resources for specific organizational goals). In a 2013 Bloomberg Businessweek article, Ben Waber describes the versatility of people analytics tools:
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「people analytics」の詳細全文を読む
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