A GLOBAL HOTEL CHAIN LEVERAGES ANALYTICS TO IDENTIFY ADDITIONAL REVENUE OPPORTUNITIES Against the backdrop of a competitive business environment, a leading global hotel chain wanted to generate additional revenue from its loyalty program members. WNS recommended estimating the monetary value of the 'size of wallet'—the total number of nights that loyalty members would willingly avail of in any hotel chain—to identify additional revenue opportunities from existing members. WNS' analytics-led solution entailed mining data, identifying the variables impacting the size of wallet and deploying logistic regression techniques. Through the analysis, WNS accurately predicted loyalty member categories that could be targeted for generating additional revenue. CASE STUDY TRAVEL & LEISU

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