Machine Learning uses analytical and statistical techniques to uncover patterns in data and provide businesses with insightful direction. The results, however, are limited by the quality of raw and translated data.

Detecting a pattern in data can be difficult if data is not translated effectively. To succeed, data should be understandable and categorized appropriately. In our increasingly digitized world, gathering raw data is much less of a problem as opposed to several other challenges. Some of which include the questions of “do I have all the data?” and “how do I collate disparate data into one model?”