Wouldn’t it be nice to be able to predict the future? According to a recent Harvard Business Review webinar, companies, governments, law enforcement agencies, hospitals, and universities are using the power of big data, new technologies, and analytics to predict whether we’re going to “click, buy, lie, or die.”
So, what is the difference between forecasting and predictive analytics? Forecasting provides an estimate to anticipate trends for a large group over time, while predictive analytics goes much further and is focused on predicting the behavior of a single individual. For example, forecasting might provide an estimate of the total sales for a particular product line next quarter, while predictive analytics tells which customer will likely buy the product. Major industries such as Banking and Finance, Retail, Healthcare, Manufacturing, Oil and Gas Utilities, Government, E-commerce and Travel and Hospitality embrace predictive analytics to boost sales, improve operations, reduce risks, and gain a competitive advantage.
- What is Predictive Analytics? Learn the about the process, applications, software and more here.
- Read how to convert analytics into action here.