e-forecasting.com's Hotel Predictive Analytics is the most exciting and useful predictive intelligence analytic technology platform for timely monitoring current and future business conditions of the city's hotels. Analytics convert data into information enabling a meaningful and consistent measurement of performance relative to business plan, industry, and national trends, or prior periods. The goal of Hotel Predictive Analytics is to transform information into insights by interpreting data in a deeper way and providing actionable recommendations for improving decision making in the hotel market.
Rather than simply collecting data, the analytics technology relies on the aggregation of data. This approach connects data, helping integrate facts in a meaningful way. The process first adjusts raw data for recurring events such as seasonality and then filters out outliers such as specific events - so called blind spots - which debilitate informed decisions; second, it aggregates adjusted data to groups of similarly-moving contextual analytics - called composites. In sum, the process translates facts into action, deploying unique business intelligence for each covered market.
The robust fact-based analytic technology platform of Hotel Predictive Analytics begins with the creation of an unrivaled business intelligence analytic, the Hotel Industry Pulse (HIP), which measures the pulse of current business conditions for the city's hotels relative to the past. Then, for the first time, the platform provides predictive intelligence by delivering the Hotel Industry Leading (HIL) analytic from a fact-based forward looking support system of city-specific leading indicators. Lastly and uniquely, using advanced statistical techniques, the analytic technology platform measures the probabilities of upcoming turning points in the direction of change in Revenue Per Available Room (RevPAR).