Project -

Data Domain / Owner Assignment Prediction


The assignment of a Critical Data Element to the correct Domain can be a highly subjective, complex process. Our Value Goal was to use Machine Learning to reduce complexity.


We delivered a machine learning prediction for Domain assignment, leveraging pre-existing mappings to train clustering model. We can further tune this algorithm to only make suggestions above certain confidence thresholds to increase accuracy of the predictions.

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