(fill) ANSWER ME! LT - #4: Lesson 4

historical

statistical techniques, _______________ data,

likely

What is _____________ to happen

pricing

predicting dynamic _____________ during

occupancy

staffing needs based on __________________ trends.

experiences

prevent negative ___________________________.

scenario

regression, time series, and ______________ modeling.

visualization

dashboard-based forecasting and ______________________.

trend

storytelling and __________________ projections.

academic

R (forecast, caret) is used for __________________ and statistical modeling.

full

Python (pandas, scikit-learn) is for _________________

pricing

Revenue Managers will rely on dynamic models for __________________.

expansion

Hotel GMs will make data-informed staffing and ______________ decisions.

personalization

guests with higher ______________________.

insights

Hospitality Consultants will offer ______________ based on analytics trends.

future

advantage in all ______________ roles.