HR data cleaning is part of People Analytics
An analytics project starts with imperfect data assets. Clean and tidy data is a milestone in your analytics project, but the systematic errors you find lead to new procedures for data maintenance.
An analytics project starts with imperfect data assets. Clean and tidy data is a milestone in your analytics project, but the systematic errors you find lead to new procedures for data maintenance.
An interview with former HR analyst at Microsoft, discussing the role of technology in People Analytics, and data Ethics: challenges, success stories and advice – one of many perspectives we had in “The People Analytics Journey” course.
HR people can overcome their analytics barriers when they exercise. Online courses do offer a lot of exercises. 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 People Analytics leader’s role is sometimes considered 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.