Analytics in HR
MAY 10, 2023
Preparing for the future: DEIB, succession planning, HR digital and new work models Developing future-proof HR skills The roles and responsibilities of an HR professional HR professionals are responsible for managing the most valuable asset of any organization – its employees.
Engagedly
FEBRUARY 11, 2024
Employing algorithms trained on extensive datasets, machine learning enables the creation of models that outperform humans in tasks such as photo classification, data analysis, and price forecasting. HR chatbots proactively engage with applicants, posing preliminary screening questions and collecting candidate data.
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HRExecutive
NOVEMBER 16, 2020
The moment you decide to measure something, you introduce bias into your data. In other words, all data requires context. Those decisions inherently introduce bias in your data. Bias is an immutable characteristic of data. We want our data to mean something, even in its tiniest instance.
Pinsight
JUNE 2, 2020
Unintentional discrimination—commonly known as disparate or adverse impact—affects many employment practices involving candidate selection. Not only can unintentional discrimination land your organization into legal trouble, but it can also create and reinforce systemic barriers to professional advancement for marginalized groups.
HR Lineup
APRIL 17, 2024
This includes adherence to employment contracts, workplace safety regulations, anti-discrimination laws, and other legal requirements. Talent Management: An HR audit helps organizations evaluate their talent management practices, including recruitment, retention, succession planning, and employee development.
Heyyy HR!
NOVEMBER 16, 2023
This involves developing and implementing workforce planning strategies to identify and address skills gaps, succession planning, and other talent management issues. They must also be able to analyze workforce data to identify trends and anticipate future talent needs.
HRExecutive
SEPTEMBER 10, 2020
And,” he added, “we really interrogate the data in search of insight. We mine the data and reevaluate workflows in search of the things that make a real difference.” For many, a mispronounced name is a signal of subtle and not so subtle discrimination to come. I prefer data-driven reduction of bias.
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