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Continuous Learning & Development: How Data Silos Will Synthesize Into Interconnected Insight Hubs

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Workplace learning is becoming more digital. That is, decision-making is increasingly influenced by the integration of various data sources inside learning management platforms. Organizations can acquire a comprehensive view of training efficacy by combining data from employee performance reviews, learning module engagement, and feedback surveys. Furthermore, by breaking down data silos, learning and development programs can better correlate with other organizational priorities such as business objectives and compliance requirements.

Also Read: Is HR Ready for the AI Revolution?

So long, silos!
In a "everything digital" age, it's no wonder that learning and development programs are also becoming digitalized. However, simply turning digital isn't enough. Organizations can easily end up with data islands that yield insights that are superior to paper-based systems but fall short of delivering the integrated, frictionless benefit promised by today's advanced analytics and cloud-based processing capabilities. Employee performance reviews, skill assessments, role descriptions, and employee development plans are examples of typical data silos encountered by HR departments. Meanwhile, in the learning and development space, there are attendance and completion rates, course feedback surveys, learning management system data, and training effectiveness measurement.

Join the conversation : https://hrtechcube.com/how-ai-provides-learning-potential/

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