In the second installment of our Staying Power series, we explore how effective use of data, analytics and AI supports solving today’s hotel workforce needs.
Workforce optimization processes are typically manual, paper-based and driven by tribal knowledge rather than hard data. Where data is available, it is often fragmented, siloed or incomplete. Additionally, most workforce-related reporting such as budgeting or time-and-attendance, focuses on documenting the past. This is critical, but advanced analytics allow for deeper insights into why things happen (diagnostic), what will happen (predictive) and what hoteliers should do next (prescriptive).
Click on the link below to explore four ways to leverage data, analytics and AI to solve workforce dilemmas.
Read Part 2 in the Series - Data, Analytics and AI are Critical Value Drivers for Workforce Strategy and Optimization
Preventing Financial Blind Spots: The Role of Forensic Accountants in Early Dispute Resolution
March 16, 2026
The right dispute strategy often begins with understanding what the financial evidence can actually support. Senior Director Kelvin Cheong explores how early forensic insight can help parties preserve evidence, assess financial viability, and approach negotiations, arbitration, or litigation with greater clarity and confidence.
Annie Peabody on Quarterly Reporting and Investor Pressure in Chief Executive Feature
April 9, 2026
In a recent Chief Executive feature, Annie Peabody examines how investor scrutiny—not proposed quarterly reporting changes—is driving short term pressures and reshaping how companies communicate corporate value narratives, performance, and strategy.
THE RETURN OF SECTION 301: WHAT DOES IT MEAN FOR APAC?
April 9, 2026
Section 301 is reshaping APAC trade. Explore risks from excess capacity probes and forced labor enforcement, plus tariff scenarios and mitigation steps.
Software and Tech Private Equity Outlook: Leverage AI Effectively or Get Left Behind in 2026
April 9, 2026
Selective buying will define software & tech private equity. Capital will favor AI-ready leaders who can differentiate, as buyers focus on the best positioned.
