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Making decisions based on data To ensure that the best people end up in management positions and diverse teams are created, HR managers should rely on well-founded criteria, and bigdata and analytics provide these. Companies should then monitor the measures and adjust them as necessary.
Peopleanalytics is at the center of human resources (HR) strategy and planning. Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. What is data quality? Data quality is also critical for data governance.
Peopleanalytics is at the center of Human Resources (HR) strategy. Companies rely heavily on data and analytics to find and retain talent, drive engagement, and improve productivity. However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent.
Even though human resources is, and will remain, a human-centric field, we live in a world of BigData and no field can survive without adopting and adapting to metrics and analysis to help them with their core functions. People need to feel like their voices are being heard and that they are getting something out of the survey.
A three-time recipient of Gartner’s Annual Thought Leadership award, he’s the originator of the field of Infonomics, which is about evaluating and accounting for data or information as an asset. He’s also the man who coined 3Vs- volume, velocity, and variety now commonly used in defining bigdata. Doug Laney.
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