Our digital world requires us to rethink how to complement current training delivery approaches.
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Topic: Measurement and Analytics
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Analytics, predictive analytics, diagnostics, data, big data and data mining are all terms used frequently in corporate training. But what do they mean, and what do training professionals need to know?
There’s a new breed of L&D talent using data and analytics to answer questions about learning’s impact on business results and employee performance.
Most writings on training evaluation focus on the best ways to measure training impact and show how the training function influences the business. Of course, the objective of training evaluation is not only to deliver data reports, but to use that data to
It’s time to be more sophisticated with the types of technology we are using in learning and development. Spending in L&D has never been higher, and leaders need to prove their learning programs are improving business outcomes.
By this time, many of us have already heard of AI (artificial intelligence). Its applications are countless, and the training industry is not an exception.
Something must be done so that business leaders can find useful and pertinent information about the effectiveness of training programs, make better use of the training budget, and obtain the results they seek.