article thumbnail

Getting Started With People Analytics

Sisense

According to a 2020 LinkedIn report , only about 29% of HR professionals report being able to successfully use insights about their people. Given that the average enterprise company now has 15-19 HR systems feeding it information and 85% of leaders say that people analytics are very important to the future of HR, this clearly has to change!

article thumbnail

Optimizing the Energy Sector with Data Analytics

Cloudera

Within this group, we can find aspects such as improvements in the management and investigation of accidents at work as well as their prevention, or other aspects such as what is called “people analytics” in reference to the use of data analysis tools for management and decision-making in people management in the company.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Make Every Sprint Count with DevOps Analytics

Sisense

You should have at least one KPI for every part of your product cycle; planning, development, testing, deployment, release, and monitoring. Our HR team uses People Analytics to provide insight into organizational performance and engagement, and these example dashboards are helpful as well. Getting Started.

article thumbnail

PODCAST: COVID19 | Redefining Digital Enterprises – Episode 2: How Data & Analytics Can Help in a Downturn

bridgei2i

And so that process with curation or identifying which data potentially is a leading indicator and then test those leading indicators. Listen to Dhritiman Chakrabarti, Advisor – People Analytics, BRIDGEi2i talk about the role of HR teams in mitigating the COVID-19 crisis and the redefinition of work in the new era.

article thumbnail

PODCAST: COVID19 | Redefining Digital Enterprises – Episode 12: How AI is rapidly transforming the enterprise landscape in the post-COVID world

bridgei2i

The way an AI system will operate in terms of engaging our employment sector is first of all, we need people who can build the models, who would be the mathematicians, computer scientists, engineers. We need people who can test.