Every training event could be represented in a digital data profile.

As organizations increasingly adopt cloud-based xAPI implementations to track and analyze learning experiences, understanding the associated costs becomes crucial.

One of the most frustrating things about xAPI is that it is difficult to gauge how much an implementation is going to cost. In order to account for xAPI statement size, volume and throughput, and data design quality when pricing an xAPI solution, we recommend building a synthetic data set representative of the data that you expect to run through your system.

Within a research context, there is a need for large and relevant activity data sets to test hypotheses regarding competency assertion. But where do these data sets come from?