Learning analytics is the measurement, collection, analysis, and reporting of data about learners, learning experiences, and learning programs for purposes of understanding and optimizing learning and its impact on an organization’s performance.
Most accepted definitions refer to analytics in the education space, not the corporate space. At Watershed, we’ve built on these definitions to create a description for these analytics in the corporate space. The key part of this definition is the second half. In a corporate context, learning analytics ultimately serves the purpose of improving organizational performance.
"Be relentless in your in your vision and flexible with the details of how you approach understanding and improving a culture of learning."
Gordon Trujillo, Visa [Read More]
"Instead of building Excel reports on a full-time basis, our analyst gets to probe the data to uncover stories and experiment information."
Andy Webb, Applied Industrial Technologies [Read More]
"You have to pick your battles and understand what is critical to know and report and what isn't relevant to moving the needles."
Monica Griggs, Bridgestone [Read More]
"The better we understand the process as applied in reality, the better we can evaluate our data and see if we are missing anything."
Amir Bar, Halliburton [Read More]
Similar to an LRS, an LAP typically takes advantage of xAPI to aggregate data about all of the training and learning events across your organization. However, an LAP takes it a step further by applying sophisticated reporting and analytics capabilities to that data.
2) It isn’t really a BI tool.
3) And, it isn’t just an LRS.Read more about how an LAP works alongside an LMS or BI tool on the Insights blog.