Consumer electronics retailer Best Buy regularly has a "Black Friday" sale $($Black Friday is the day after Thanksgiving$)$ in which customers can buy products at a discount on that day. Admittedly, most Black Friday promotions now start before Thanksgiving and continue on through "Cyber Monday" and beyond $($Cyber Monday is the first Monday following Thanksgiving$)$; however, for the sake of this question, just focus on the actual day of Black Friday itself. Best Buy, like many other retailers, now sees a considerable number of its Black Friday sales being made online. That being said though, Best Buy also notices a spike in foot traffic in its physical stores on Black Friday as well. Best Buy prides itself on making sure that every customer that visits one of its physical stores is greeted by at least one of its associates $($and likely that associate will ask the customer if they need help as well$).$ Best Buy uses historical data $($collected from previous year's Black Fridays$)$ to guess how many sales associates it will need to have on the salesfloor $($of each of its stores$)$ in order to meet its goal of having every face$-$to$-$face customer greeted$/$helped by an associate. This is an example of which type of analytics?

Prescriptive Analytics

Diagnostic Analytics

Descriptive Analytics

Predictive Analytics