Machine Learning in CCH® Tagetik

The Machine Learning can process either structured or unstructured data autonomously (unsupervised) or aided (supervised), for the purpose of producing useful results for the detection of patterns explaining past or future events. The Machine Learning is the ultimate innovation in the Finance industry and, as such, it offers outstanding opportunities.

In CCH Tagetik you can enrich the information in the Analytical Workspace thanks to the execution of supervised and unsupervised models. It allows you to train the models with your own data in the Analytical Workspace, analyse the output of the training and also carry out predictions.

The available models are contained in a models library .

Inside the Analytical Workspace you can configure both the Advanced Analytics for the training phase and the Advanced Analytics for the execution phase of the trained model. This allows the users to carry out the prediction from the workflow.

Note: currently, this solution can be enabled only on the Cloud service provided by CCH Tagetik.