What are the current and emerging data trends and technologies that GDS should be aware of and adopt?

You know how some people can look at a bunch of numbers and it's like they can see the future? Well, that's the magic of data literacy. ?? It's not just about fancy graphs (although those are cool too!). It's about turning raw data into stories that help you understand problems and find solutions. Data literacy gives you the skills to put the pieces together. How can that help? Imagine this: your team is working on a project, and you need to know if you're on track. With data literacy, you can track progress. In my experience, building a data-smart team changed how we did everything! We made better decisions, solved problems faster, and our customers were happier. The key? We didn't just collect numbers; we used them for action.

When I was COO of Cmnet hospitality technology we had an interface with Sabre. Cmnet have 80% of the hotels pms system in Brazil . All Brazilian travel agencies using Sabre makes a reservation in Sabre and is direct connect with the Cmnet pms . To create a culture of how to use data and gds I had the idea to hire interns , we train them in Cmnet and send them to each travel agencies to train their reservation department, this program was very successful because besides create the culture of how to use data increase revenues by 30 % .

Think of all those times you get an icky feeling working with data (you know the ones). It's not just about rules – your instinct is trying to tell you something! Data ethics is way more than checklists. It's about that inner voice saying "is this right?" In my experience, gut checks are KEY. Ever had a project with super clean data, but it feels somehow…off? That's your data ethics compass talking! Data ethics makes you a better pro. It helps you build trust (and avoid a PR nightmare down the line!). It's not just following the rules, it's about doing work you can be proud of

Have you ever felt overwhelmed by data quality chatter? All that focus on numbers, rules, and standards can make the whole topic feel stale. But here's the thing: data quality is way more than just a technical checklist. It's about how your data makes a real-world difference. How does it support your mission? That's where a fresh perspective comes in. It's time to move past the tired perceptions and dive into how high-quality data can transform your work. In my experience, I’ve found it helpful to focus on the "why" behind data quality. Why does it matter for your users, customers, or clients? Once that "why" is crystal clear, those technical details start to make a whole lot more sense.

Ever feel like your amazing data is trapped in a box? Like it's got so much potential, but it can't talk to other awesome data out there? That's where data interoperability swoops in! Picture data interoperability like a universal language for your info (think of it as "data-Esperanto"). It lets different systems chat without glitches, revealing hidden patterns and turbocharging your decision-making! In My Experience: Sometimes, even with the coolest tools, my team's datasets couldn't mingle – that's when we embraced interoperability standards. Suddenly, boom! Insights galore, like we'd upgraded our data with a superpower.