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.

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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.

Benefit 1: More dynamic and effective training
The first impact organizations can expect to see is a big improvement in the effectiveness of their training efforts. For instance, an HR department could use AI to correlate employee performance metrics with their training history, identifying which training programs are most effective in improving specific skill sets. At an employee level, these training programs can be better personalized to suit the needs of each employee. We know training helps keep employees engaged and motivated, and, according to a recent PwC study, 53% of employees said their job needed specialist training and that three-quarters of employees are ready to learn new skills or retrain completely.

At an organizational level, tracking and evaluation of learning and development ROI and effectiveness becomes much clearer through the use of AI-based analytics. This data fusion enables more strategic decisions about developing and modifying training programs, ensuring they are aligned with both employee needs and organizational goals.

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