Augmented Analytics really delivers this part completely to the machine, extracts the most important findings from the data, with which you can then improve the performance of your own company very well. The topic of augmented analytics can be a huge boost especially for the part of the working population without a hard analytical understanding.
If you can jump directly to the results, i.e. the good analyst that Data Scientist can use to automate, then you achieve a much better scaling of the whole. If you can also find out which recommendations and insights are associated with which actions, then you have an overall understanding of the situation and of a much better solution.
Even as a human being, you probably learn much better. I think this is very exciting, because any system can be optimized with it. This strategy can also be used, for example, to improve the interaction between man and machine when it comes to personalization. I mean strategies where the machine tells you which segments work much better in which step than possible others when you test personalization.
Reasons for this can then be certain differences between the clusters, as in cluster analysis, for example, where one cluster perhaps wants to be addressed more emotionally, the other more with features and another only from the price. So very simple examples. And if the machine tells you that and tells you why the split is like that, you’ve already won a lot.