Interesting articles around using Data and Analytics in People Management.
Subhashini Sharma Tripathi
Data Scientist @ Signify || Career Guidance @ CareerTests.in
This weekend, some very interesting articles I am reading include “How To Use People Analytics To Drive Business Performance” from #forbes. Using Analytics to make great decisions is a skill. To quote, “…65% of those who work in an organization with a prominent people analytics culture said their companies perform better than their competition. But according to the "State of HR Analytics 2021" report, only 29% of respondents say they are good at making positive changes based on this practice.
Encourage your teams to prioritize data and facts in decision-making instead of relying on gut feelings and viewpoints. Highlight the importance of a factual approach and help them understand how to tell apart verifiable information from hunches, deceptions and assumptions. “
Read more : https://www.forbes.com/sites/forbeshumanresourcescouncil/2022/05/31/how-to-use-people-analytics-to-drive-business-performance/
Another interesting article was in #hbr “Competing in the New Talent Market” . To quote “People analytics — such as pulse surveys, natural language processing, and network analysis — can help companies separate the signal from the noise. Empirical data can help managers to understand, for example, exactly why people are leaving, and who is making that decision. Is it parents? Women? Older people? Newbies? On that basis, companies can improve their culture so that people feel more valued and are thus more likely to stay.”
Read more : https://hbr.org/2022/10/competing-in-the-new-talent-market
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What I have seen in the last 2 decades of my career is when technology is adopted, the early benefits of being able to see basic data is soon replaced with the PROBLEM OF PLENTY – too much data and very less insights. At this stage, the organizations needs to move from Dashboards and graphical representations to statistical models which generate insights?without the decision makers getting confused by TOO MUCH DATA.
Is your organization ready to make this movement?
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