Hey, please let me know in case you need any revision. Thanks.
Running head: ASSIGNMENT
Predictive analytics happens to take historical data and supplies it in a machine learning
model that contemplates primary trends and devices. This analytic then gets put into current data
to anticipate what will take place next (Shmueli & Koppius, 2011). Predictive analytics,
therefore, understands the future. This model happens to be the next step up in data
minimization, and it uses some modeling, statistical, data mining, and machine learning methods
to review current and historical data, thus enabling analytics to predict the future. For example,
predictive analytics may get utilized in hospitals to forecast a boost in patients admitted to the
emergency room in the following several weeks.
Prescriptive analytics tend to take predictive data into the next level. If one has an idea of
what will happen in the future, this analytic suggests numerous courses of action and indicates
what might be the possible implication for each activity. Prescriptive analytics, therefore, advises
on possible outcomes. For example, in hospitals, in a case where a person knows the ailment is
spreading, then the prescriptive analytics tool may propose that you surge some staff to treat th...
15 Million Students Helped!
Sign up to view the full answer