Mission Critical: Get the Skills and Tools to Analyze and Share Learning Data
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The wave of information known as Big Data has been growing exponentially in recent years, and organizations are hungrier than ever for more data. They collect data from systems all across the enterprise, certain that it holds to key to improving results. While companies have been getting better at collecting more meaningful data, understanding just what it means is another story altogether.
Brandon Hall Group’s 2017 Learning Analytics Study found that few organizations are able to run proper analysis on the learning data they are collecting, and therefore are challenged to determine the impact learning is really having on the business. Of course, a big part of the problem is that companies are still heavily focused on more transactional data like course completions and grades, as found in Brandon Hall Group’s 2016 Learning Measurement Survey. But still, even if they are collecting the kind of metrics that help link learning to organizational and individual performance, very few are able to make much sense of it. In fact, overall, only about 1 in 5 organizations do an above-average job with analytics.
While, in a general sense, companies are not so great with learning analytics, the study also found that high- performing companies (those with improved KPIs such as increased revenue, market share, customer satisfaction, etc.) do a far better job. More than 40% of these high-performers report being better than average with learning analytics, while only 9% of lower-performing companies say the same.
Despite the study finding a grim current outlook on learning analytics, the results for high performers is promising. These results, along with the findings of the Learning Measurement Study, show that a focus on gathering performance- and behavior-based learning metrics combined with the skills and tools to understand the data is the required recipe for ensuring learning is having its full potential impact on the business.
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