Discussion: Module 2 – AIML-April-2026

[Jack]

My submission looks at data privacy through a healthcare lens and draws a parallel with hospitality. I draw alignment with healthcare constructs in preparation for the project I plan to prepare for the course. I have included URLs , parenthetically, to explain some the concepts that may not be known to those outside the healthcare discipline!

Healthcare data security and privacy in data warehouse architectures, by Thantilage et al. (2023), examines the challenges of balancing data usage and privacy in healthcare data systems. The authors stress that healthcare data is highly sensitive because each record is connected to a patient making data breaches very serious for individuals and institutions. They argue that data security is crucial at every stage of data handling from collection to analysis and presentation and that privacy is not a feature but a fundamental obligation.

This idea can also be applied to the hospitality industry, where companies use data to improve guest experiences through services and efficient operations. However the article cautions and highlights that there is a limit to how much data can be used including the following: the goal of providing an experience should not compromise ethical responsibilities; and, in both industries it is essential to find a balance between effectiveness and protection of dignity, safety and trust.

This balance is similar to the “Iron Triangle” of healthcare (https://ldi.upenn.edu/our-work/research-updates/william-kissick-and-the-iron-triangle-of-health-economics/) , which includes cost, access and quality/ continuity. Improving one aspect typically affects another of the vertices. For example using data to personalize services (i.e., quality of the experience) may increase the expense of care/service delivery (i.e., cost) or decrease the security of the data and risks to privacy (quality).

The selected article supports this idea stating that scalability and accessibility must be balanced with privacy and security protections. A similar balance can be seen in hospitality, where experience, efficiency and trust are important and trust based on data privacy is a non-negotiable requirement.

The healthcare “Triple Aim” ( https://www.ihi.org/library/topics/triple-aim) , which strives to improve experience, population health, and reduce costs can also be applied to hospitality. Guest experience is similar to experience operational efficiency is like cost containment and trust is the foundation of responsible data handling. The article suggests that maintaining trust depends on protecting data integrity and handling sensitive information securely.

Innovation , Intelligence, and Strength are highlighted as three pillars of hospitality excellence https://blog.thessagroup.com/hospitality-in-action-reflecting-on-our-three-pillars! My parallel assessment is that in hospitality a “Triple Aim of Hospitality” could be <i style=”font-family: inherit; font-size: inherit; color: inherit;”>Data Stewardship (access), <i style=”font-family: inherit; font-size: inherit; color: inherit;”>Operational Efficiency (cost) and <i style=”font-family: inherit; font-size: inherit; color: inherit;”>Guest Experience (quality).

This article is helping shape my proposed project, — a discharge care model that combines healthcare and hospitality called a “med-hotel.” This model aims to provide patients with an clinically safe environment as they transition from acute care. However this model must follow healthcare data privacy standards (HIPAA) (https://www.hhs.gov/hipaa/index.html) while also offering hospitality-level services. The article provides a foundation for ensuring that patient dignity and confidentiality are protected while improving their experience.

Conclusively, both healthcare and hospitality face the following common challenge: using data to improve outcomes while safeguarding trust and mitigating against the risk of privacy breaches. . The goal of providing an experience should not compromise ethical responsibilities. Instead sustainable and ethical innovation in hybrid models, like the med-hotel concept I pan to develop with an AI overlay, depends on maintaining a balance among privacy, dignity and safety , which are paramount!

Reference

Thantilage, R. D., Le-Khac, N.-A., & Kechadi, M.-T. (2023). Healthcare data security and privacy in data warehouse architectures. <em data-start=”3698″ data-end=”3736″>Informatics in Medicine Unlocked, 39, 101270. https://doi.org/10.1016/j.imu.2023.101270

[Craig]

Thanks Jack,

I have never really given much thought to the crossovers of Healthcare and Hospitality one being a necessity and the other an indulgence however you make a very clear point that should not be overlooked.

Having overseen a very large and potentially costly data breach issue in my past role I can see the case for treating the data we handle in Hospitality similarly to how you would in health care with HIPPA type guardrails. With this level of thought in the background to all we do would help limit large data issues and ensure careful handling of peoples personal data. Essentially within hospitality you could end up gathering such a profile of people you could have more information than even their healthcare professionals have about them!!

Craig

[Miranda]

This is such an interesting way to connect healthcare and hospitality, Jack. I really like how you brought in the “Iron Triangle” and “Triple Aim” because it makes the tradeoffs feel very real, especially when it comes to balancing personalization with privacy. Your idea of a “Triple Aim of Hospitality” with data stewardship, efficiency, and guest experience really stuck with me. It puts trust front and center, which feels right for where the industry is heading.

The med-hotel concept is also really compelling. Blending HIPAA standards with a hospitality experience is a high bar, but it makes so much sense. One thing I kept thinking about while reading your post is transparency. How do you see organizations explaining how data is used in a way that actually builds trust, without overwhelming people?

[James]

Thanks Jack.

There definitely seem to be similarities in the hospitality and healthcare industry that I noticed. Both aim to provide a seamless, frictionless journey from “check-in” to “discharge.” In regards to data, just as a hotel uses a CRM to remember your pillow preference, modern hospitals use integrated Electronic Health Records (EHR) to ensure a patient doesn’t have to repeat their medical history to five different specialists. Both sectors handle highly sensitive personal information, making them prime targets for cyberattacks. I’m really realizing those both of these industries interlap in many ways.

[Rachel]

Hi Jack! I really like how you connect healthcare data privacy to hospitality, especially by framing privacy as an ethical responsibility rather than just a technical safeguard. Your comparison using the Iron Triangle is helpful because it clearly shows the tradeoffs both industries face when trying to improve experience without increasing risk or cost.

The way you translate the healthcare Triple Aim into a hospitality context also makes a lot of sense. Positioning data stewardship alongside operational efficiency and guest experience reinforces how trust underpins everything. Without strong privacy practices, personalization and innovation can quickly backfire. Your med-hotel concept is especially interesting, since it highlights how complex data governance becomes in hybrid models. Balancing HIPAA-level privacy with hospitality-style service will require intentional system design and staff training from the start. Thanks for sharing!!

[Jack]

Revised Reference submission:

Thantilage, R. D., Le-Khac, N.-A., & Kechadi, M.-T. (2023). Healthcare data security and privacy in data

warehouse architectures. <em data-start=”3698″ data-end=”3736″>Informatics in Medicine

Unlocked, 39, 101270. https://doi.org/10.1016/j.imu.2023.101270

Note:

I have tried to adhere to APA 7 for hanging but it does not stay once submitted. THX JR

• This reply was modified 5 months ago by  Jack.
• This reply was modified 5 months ago by  Jack.

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[Jack]

APA 7 References for URLs used. (Note is there an edit button for Canvas assignments already submitted as in conventional Canvas plaforms? THX Jack

<br data-start=”585″ data-end=”588″>

Leonard Davis Institute of Health Economics. (n.d.). <em data-start=”641″ data-end=”700″>William Kissick and the iron triangle of health

<em data-start=”641″ data-end=”700″> <em data-start=”641″ data-end=”700″ style=”font-family: inherit; font-size: inherit; color: inherit;”>economics. University of Pennsylvania.https://blog.thessagroup.com/hospitality-in-action-reflecting- on-our-three-pillars

The SSA Group. (n.d.). <em data-start=”901″ data-end=”957″>Hospitality in action: Reflecting on our three pillars.<br data-start=”958″ data-end=”961″> https://blog.thessagroup.com/hospitality-in-action-reflecting-on-our-three-pillars

U.S. Department of Health & Human Services. (n.d.). <em data-start=”1116″ data-end=”1177″ style=”font-family: inherit; font-size: inherit; color: inherit;”>Health Insurance Portability and Accountability Act

<em data-start=”1116″ data-end=”1177″>(HIPAA). https://www.hhs.gov/hipaa/index.html

[Craig]

– Data Analytics in Hospitality – Vidi-Corp

– Data Analytics in Hospitality For Hotels And Restaurants

– The article / post (dare i say it sales pitch) is quite frankly fascinating and details just how much data is at the fingertips of the hospitality operators. It starts with a very stark warning – “Hospitality businesses, such as hotels and restaurants, that are still making decisions based on intuition or ‘what worked last season’ are quietly losing guests, revenue, and market share to data-driven competitors”. I would also add losing time, loyalty, money and the will power to live as when you keep trying and failing it takes its toll on anyone especially in a team centric environment we operate in.

– The article goes on to show different case studies and ties in different data sets together from future bookings, to booking lead time, RevPar, Incremental spend and a further interesting aspect is staff costs and a claim that a barista is the most expensive due to the low value of the coffee ticket sales.

– There are a number of exciting case studies not least the one regarding discount sites and also different delivery platforms which are in some cases a larger revenue driver than sit down restaurants.

– Now I may be missing the actual point of this discussion however I felt the information was to close to home to just overlook and not share.

– The key takeaway is that hospitality organizations already possess vast amounts of data—from booking systems and POS transactions to guest feedback and online reviews—but the real value comes from connecting these data points and turning them into actionable insights.

– From my perspective in airport lounge operations, this aligns closely with how I have been steering my team via a weekly guest sentiment review where I break down the all guest comments, impacts to the scores and then go a level deeper and tie it to hours the scores were made while cross checking against the staffing models, and food & beverage performance. Data analytics allows us to go beyond simply knowing a location is underperforming, to understanding <em data-start=”1646″ data-end=”1651″ style=”font-family: inherit; font-size: inherit; color: inherit;”>why—down to specific timeframes, service touchpoints, or operational constraints.

Overall, the article reinforces that data analytics is no longer a competitive advantage—it’s becoming a necessity. Hospitality businesses that effectively leverage their data will be better positioned to deliver consistent, high-quality experiences while also driving operational efficiency and profitability and growth while others limping on with thoughts and feelings will cease to grow and possibly even function.

• This reply was modified 5 months ago by  Craig.

vidi-corp.com

Data Analytics in Hospitality For Hotels And Restaurants

Hospitality data analytics means analysing and interpreting data to improve the operations of a hotel or a restaurant.

[Miranda]

I really enjoyed reading this. Your point about data replacing “what worked last season” thinking feels especially real, and honestly a little uncomfortable in the best way. The way you described tying guest sentiment to specific hours, staffing levels, and F&B performance is exactly where data becomes powerful. It moves the conversation from “something feels off” to actually understanding what is driving the issue.

The airport lounge example brings it to life. That level of detail is what most operations are missing, not the data itself but the ability to connect it. I also thought your mention of unexpected insights, like the cost of a barista or the impact of delivery platforms, was interesting because it shows how data can challenge assumptions we might not even question.

It makes me wonder how far this can go in terms of real time decision making. Do you see your team eventually adjusting staffing or service flow in the moment based on live data, or is it more of a weekly review process right now?

[Jack]

Great submission, Craig. One of the things I like about your style here is the practical and intentional connection between theory and practice. You show us how it can be applied. Evidence-based decision-making and the importance of credible data upon which to base arguments and investments (including research, time, and resources) is to collect information and minimize the risk of mistakes or poor decision-making without the tools associated with these products! Thank you,

Jack

[Miranda]

One relevant article I found is from NetSuite titled “10 Uses for Data Analytics in the Hospitality Industry.”

URL: https://www.netsuite.com/portal/resource/articles/erp/data-analytics-hospitality-industry.shtml

This article directly relates to data management and analysis in hospitality by explaining how organizations use structured data from systems like reservations, POS systems, and guest feedback platforms to drive decision-making. It emphasizes that analytics brings together data across departments to create a “unified view of performance,” which allows managers to better understand operations and improve outcomes.

A key argument from the author is that data analytics has become essential, not optional, for hospitality leaders. The article outlines how analytics supports revenue growth through dynamic pricing and forecasting, improves operational efficiency by aligning staffing and inventory with demand, and enhances guest experience through personalization. (NetSuite) It also explains three core types of analytics: descriptive (understanding past performance), predictive (forecasting future trends), and prescriptive (recommending actions), all of which guide more informed decision-making.

From a practical standpoint, this aligns closely with real-world hospitality operations. Technology has significantly improved data management by centralizing large volumes of information into systems like ERP and PMS platforms. These systems allow organizations to track key metrics such as revenue per available room (RevPAR), monitor guest behavior, and adjust strategies quickly.

Reflecting on my own experience, technology has reduced manual processes and made data more accessible and actionable. Looking ahead, I think the greatest opportunity lies in predictive analytics and AI. As highlighted in the article, the ability to anticipate guest needs, optimize pricing in real time, and proactively manage operations will continue to shape the future of hospitality.

Overall, the article reinforces that effective data handling is not just about collecting information, but about using it strategically to improve both operational performance and the guest experience.

• This reply was modified 5 months ago by  Miranda.

netsuite.com

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[Jack]

Very nicely framed, Miranda. This is a practical and useful submission with tools that can aid in predictive analytics and optimize efficiencies. Customers in all fields and disciplines are looking for value-addedness and differentiation. The uses of data to achieve optimal revenue outcomes can be better understood from this article and your post explanation! Thank you, Jack

[Craig]

Great Article you found Miranda, 100% agree Data is a necessity versus an optional and i love the Descriptive, Predictive and Prescriptive way of explaining the 3 distinct types of data, truth be told until now i had struggled with finding a good way to explain how we will use past results to form future decisions so i may just steal this 😉

Thanks for sharing.

[Rachel]

Great article Miranda! I appreciate that the article shares both the advantages and disadvantages of data analytics as it grows in the hospitality industry! From a marketing perspective being able to see demographics, booking behavior, and spending patterns is super helpful in being able to target ad campaigns to reach travelers. Thanks for sharing!!

[Rachel]

• https://www.cvent.com/en/blog/hospitality/data-analytics-in-hospitality
• This article explains how hospitality organizations use data analytics to improve marketing effectiveness, demand generation, and overall revenue performance. It highlights how data from booking engines, CRM platforms, and digital marketing channels can be analyzed to understand customer behavior, forecast demand, and optimize marketing spend. The article strongly connects data handling techniques such as collecting, cleaning, and interpreting guest and campaign data to use for hotel marketing strategies. From my professional experience, modern dashboards and reporting tools make it easier to monitor campaign performance, manage budgets, and identify issues such as overspend or pacing problems almost immediately. Automation and real‑time tracking have reduced manual errors and improved response times when adjustments are needed. Looking ahead, hotel marketing teams could further leverage data analytics by strengthening system integrations between marketing platforms, booking engines, and revenue management tools. Advanced predictive analytics and AI‑driven recommendations could proactively optimize campaign budgets, booking patterns, target audiences, and prevent performance or budget inefficiencies before they impact results.

• The author’s main argument is that hotel marketing should be driven by data instead of guesswork. By using predictive analytics and real‑time reporting tools, hotels can identify trends earlier and respond faster. The article also highlights the importance of having marketing and booking data connected in one place so teams can clearly see return on investment and make smarter decisions.

cvent.com

Data Analytics in Hospitality: A Guide for Revenue Professionals | Cvent

Data Analytics in Hospitality: A Guide for Revenue Professionals | Cvent

[James]

Appreciate it Rachel.

Based on your response, I definitely agree that hotel marketing should be driven by data and not guesswork. By having accurate data, your able to effectively target and implement proper information to your customer. With guesswork, there could be moments where your wasting time and energy. Point well taken Rachel!

[Craig]

Great find Rachel, its written really well and hits home on what many of us have found, essentially the future is now and instead of making business decisions based on thoughts and feelings we can now use the data, have AI interpret it and then a human to validate and you have a much more robust and scalable outcome that should be much less prone to failure.

[James]

https://hotelsmarters.com/blog/hotel-data-analytics

This article connects high-level data theory with the practical daily operations of hospitality. Within this article covers how data handling has shifted from simple record-keeping to a real-time operational necessity for modern hotels.

One of the ways this article related to data management in the hospitality industry is transition from data storage to data orchestration. This focuses on data integration by pulling separate pieces of information such as such as restaurant POS systems, spa booking software, and room reservation systems—into a unified environment.

Their arguments center on moving away from “gut-feeling” management toward a structured, data-driven culture. The overarching theme is that data is and will be the new currency. The author views data management not as an IT task, but as a core pillar of guest service. If you aren’t managing your data effectively, you aren’t truly managing your guest experience.

Some of the data analysis techniques include practical data handling, core analytics metrics, and emerging trends.

Practical data handling consists of:

[Kimberley]

Title of article: “Hotel Data Management: Solutions, Databases and Best Practices”

URL: https://www.altexsoft.com/blog/hotel-data-management-best-practices/

The article relates to data management and analysis in hospitality by showing how raw guest data can become actionable business intelligence through real deployment instead of staying theoretical. It combines internal operational data with external guest sentiment to solve a concrete problem.

The author’s argument centers on a few connected claims about how hospitality businesses should treat guest data. Mention is made of the fact that data is a strategic asset, not just an operational byproduct. He also emphasizes that most hotels already have plenty of data, but the real challenge is that it’s scattered across internal systems and external sources and disconnected from each other. The value only emerges once that fragmentation is resolved through business intelligence tools. He also alludes to combining internal customer data with external guest commentary such as TripAdvisor reviews, which produces sharper, more actionable insight than internal data alone. His underlying argument is that data handling in hospitality is less about acquiring new data and more about integration and application.

altexsoft.com

Hotel Data Management: Solutions, Databases and Best Practic

Explore the ways hotel data management can drive guest retention, boost performance, and cut costs. Uncover hidden insights and make informed decisions.

[Samir]

Aptly put Hospitality industry is getting flooded with data every second, when a guest checks in, check out, during after, all the time. How we make use of is in our hands.

Here is another blog related to data collection

Data Collection in the Hotel Industry: A Practical Guide By Vaniskha Dhar Oct 5,2025

Data is no longer a luxury but Necessity ( Dhar,V 2025)

The article explains how structured guest data collection has become a core capability for modern hotels, enabling better guest experience, improved operational efficiency, and higher revenue.

Key takeaways include:

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