Predictive Analytics Explained!

Predictive analytics employs statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. Through predictive analytics, businesses are offered an advantage in today’s competitive landscape. 

The foundation of predictive analytics is data. Data is gathered from a myriad of sources, including transaction records and CRM systems. After data is acquired, algorithms are trained on a subset of the data to create predictive models. Some common techniques include regression, decision trees, and neural networks. Once validated, the model is implemented in real-world scenarios, where it begins making predictions on new data.

Dia Analytics, LLC uses predictive analytics to help businesses make strategic decisions.  Contact Monica@DiaAnalytics.com or visit www.diaanalytics.com for more information.