Any learning and development team can have good quality learning and development analytics, it just depends on how you look at it. My view is that you should always start with the data you have. Don't bother right now if you are not using XAPI or other more sophisticated data analytics, focus on what you can do. I call this the low hanging fruit. Look for the apples close to the ground and for now ignore the ones at the top of the tree till you have extra support to reach that high. What are examples of low hanging fruit learning and development analytics?
Here are four common examples:
- Training attendance data
- Elearning completion rates data
- Analysing data from happy sheets (yes that too)
- Learning needs analysis through performance reviews
You may look at them and think, data analysis from them won't add much value, but at least work with this data properly and become confident at reporting what is happening in these three areas. If you can do this well, you will be ready for other opportunities.
So do you know what your low hanging fruit for data analysis are?
if you do, what are you going to do about it?