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Data-Driven Decision Making in Managed Travel: Best Practices and Recommendations

This presentation covers best practices in leveraging data for decision-making in managed travel, providing insights on data reporting, trends, variances, ranks, averages, and transaction data analysis. It also includes expertise recommendations and reasons for optimizing travel sourcing options and savings. Explore topics such as hotel clusters, compliance measurement, cabin policy adherence, supplier scenarios, traveler resistance, and loss mitigation strategies. Gain expertise in navigating data reporting for informed decision-making in managed travel.

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Data-Driven Decision Making in Managed Travel: Best Practices and Recommendations

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Presentation Transcript

  1. Data… Analysis… Action Best practices in data-based decision making for managed travel

  2. Your Data Is Served

  3. Data Reporting Trends and Variances Ranks and Averages Transaction Data

  4. Insights Reasons and Options Trends and Variances Ranks and Averages Transaction Data

  5. Expertise Recommendations Reasons and Options Trends and Variances Ranks and Averages Transaction Data

  6. Slide 1 detail (Arial 44) Create Hotel Clusters

  7. Slide 1 detail (Arial 44) Measure Hotel Compliance

  8. Cabin Policy Compliance

  9. Which Supplier Scenario? • Star Alliance, with AA as Secondary? • Star Alliance, with DL as Secondary • SkyTeam Alliance? • oneWorld Alliance?

  10. Traveler Resistance Worst C D Best B A X Loss Savings Travel Sourcing Options Map

  11. Expertise Insights Data Reporting

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