STR Analytics has launched DataCast, a report
that aims to alter the landscape of hotel forecasting methodology
by allowing the user to adjust the forecast to better evaluate
market potential.
DataCast is designed to provide direction and
allow users to adjust the forecast within data-driven parameters.
The report has the ability to modify and better devise practical
forecasts, including fluctuations in the economy. DataCast also
evaluates each historical metric and summarizes them in a unique
visual readout.
"DataCast is not merely a report, but an actual
forecasting tool developed with the understanding that everyone
has a different perspective on future performance," said Steve
Hennis, director of STR Analytics. "Particularly given recent
uncertainty in the market, we acknowledge that there are various
outlooks for the lodging industry. Using parameters derived from
historical data gathered by STR, DataCast provides the guidance
for our clients to evaluate performance potential in a new way."
The new product is intended to improve the
forecasting process for budgeting and business planning, risk
assessment, hold/sell analysis, transaction underwriting and due
diligence, appraisals, marketing studies and feasibility studies.
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