Predictive analytics is a branch of advanced analytics
that makes predictions about future outcomes using historical data
combined with statistical modeling, data mining techniques, and machine
learning. Companies employ predictive analytics to find patterns in this
data to identify risks and opportunities.

Predictive analytics is
often associated with big data and data science. Companies today are
swimming in data that resides across transactional databases, equipment
log files, images, video, sensors, or other data sources. To gain
insights from this data, data scientists use deep learning and machine
learning algorithms to find patterns and make predictions about future
events. These include linear and nonlinear regression, neural networks,
support vector machines, and decision trees. Learnings obtained through
predictive analytics can then be used further within prescriptive
analytics to drive actions based on predictive insights.

James Stewart
https://www.linkedin.com/in/jamesmdstewart

The Data Standard
https://datastandard.io/
https://www.linkedin.com/company/the-data-standard/
https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q