Про светлое будущее

Немного из области фантастики.
Фантастики, потому что здесь говорится про работу с данными, а HR, по моему меткому замечанию, еще до метрик не доросли... У нас самые продвинутые еще пытаются метрики собирать и верят в ассессмент центр...

из анонса
how data scientists in Google's human resources department were using R and predictive analytics to better understand the characteristics of its workforce.  Google may very well have done the pioneering work, but predictive analytics for HR applications is going mainstream. In the still below from a Predictive Analytics Times video on Data Science for Work Force Optimization Pasha Roberts, Chief Scientists at Talent Analytics, describes using survival analysis for modeling employee retention.
The video begins with a discussion of data analytics in industry, spends some time on three important curves for workforce analysis, presents some tips for talent modeling and ends with a case study on call center attrition. During the course of his presentation Pasha walks through all of the stages of a project from formulating a hypothesis, through model building and testing to model deployment.

But Pasha covers more ground than model building alone. It appears that leading edge HR departments are moving towards predicting individual employee performance. The discussion of Aptitude Metrics about 45 minutes into the talk should be of interest to anyone working, or looking for work at a technology company. Quantitative evaluation is likely to be a big part of our future. This video is well worth watching


Популярные сообщения из этого блога

Кейсы и проекты клиентов WebSoft, представленные в 2017 году

Цикл статей "Тренды современного HR". 7. Переход HR-сферы в формат Digital. Итоги цикла

ТОП 10 публикаций 2017 года в блоге WebSoft