HR people can overcome their analytics barriers when they exercise. Online courses do offer a lot of exercise. However, only when HR people practice with real data, their own organizational data, they can bypass the obstacles.
The gender pay gap analysis in this article is straightforward. HR managers with a B.A. education can handle it, with a little help from a data scientist. I encourage HR practitioners who start their journey in People Analytics to practice it. The data is available, and the insights may be vital.
A crucial part of your challenge in People Analytics is the effort to establish communication between different professionals. The role of the People Analytics leader is considered sometimes as a translator, the enabler of this communication.
The growing importance of data-driven HR was well reflected in the conference. this article covers ten key takeaways from the conference’s first day sessions, case studies, and demos. The next blog covers the conference on the 2nd day.
HR data is a mess! Nevertheless, there is so much that HR leaders can do to cope with this challenge, starting today, based on six recommendations included in this article, in a mixture and volume that depend on the phase in the journey to data-driven HR.
A snowball of inspiration, that hopefully will encourage more women, and particularly HR professionals, to enter the data world. These women are Role Models for aspiring People Analytics practitioner. The list includes valuable sources related to most of the professionals.
How can we find top performers? How can we better engage our highest performing workers? Which qualities do amazing teams have? Which people are most likely to stay, or leave the company? People Analytics is being used to predict future behavior for the sake of the business.
Employees and candidates will judge employers, in addition to Employee Experience perceptions, by employer ethics in data management, and when feeling secure, they’ll be more receptive and enthusiastic to participate and cooperate with AI and ML to influence their career path.