Machine learning (ML) plays a powerful role in data analytics by automating tasks, uncovering hidden patterns, and making predictions from large and disparate data sets. For example, data cleaning and sorting can be time-consuming, manual processes. Machine learning algorithms can automate these tasks, freeing up data analysts for more strategic work such as interpreting results and building models.
In addition, large data sets can hold hidden patterns and trends that traditional statistical methods might miss. Machine learning algorithms can analyze vast amounts of data to identify complex relationships and spot trend anomalies. Once machine learning models are trained on historical company data, they can predict future outcomes to help minimize customer churn, build targeted marketing campaigns, and set optimal pricing levels.