SAS

SAS, the analytics powerhouse, uses data to inform platform decisions for students

Based in the US, SAS is a trusted analytics powerhouse, with over 40-years experiences, for organizations seeking immediate value from their data.
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SAS the analytics powerhouse use data to inform platform decisions for students with Learning Locker, Learning Record Store.

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Challenge

Based in the US, SAS is a trusted analytics powerhouse, with over 40-years experience, for organizations seeking immediate value from their data.

Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence.

Having identified the need within their organization to create a more tailored curriculum for their learners, SAS came to Learning Pool believing its Stream Data Cloud (powered by Learning Locker®) could help.

SAS already had a custom interface for elearning courses, using Moodle as an LMS to present these courses in an organized way, but now what they required was a solution that could collect more data about student behavior and enable them to collect more data from different sources.

Solution

SAS implemented Stream Data Cloud to keep a comprehensive record of their student’s training histories across multiple areas of content and methods of delivery.

Here, Moodle is used as an LMS to present the courses built by SAS which feeds data back to the data cloud.

Results

For SAS, Stream Data Cloud and its xAPI capability has provided a unique window into student behavior that has otherwise been near impossible to gather on a wide scale. Gaining access to this data has played a crucial part in building an accurate understanding of their students and how they learn from the training assets available to them, enabling SAS to improve upon these assets and refine the overall student experience.

The data cloud has also enabled SAS to collect a far more granular degree of data about specific student behavior, applying to both student interactions with courses in general, as well as student interactions with individual pieces/content features. As a result, SAS has found that they can use not only if students are completing a course, but whether they are engaging with the content throughout the course.

In the long run, SAS hopes that as more detailed data is gathered, tailored offerings and customized learning paths for students will become a possibility.

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