The project was made for an essay of the University of Cumbria in the context of Msc in Data Analytics. It reviews the concepts of data science and analytics, then analyses an online luxury fashion C2C company’s dataset using Python, identifying weak correlations between social features/passRate and user sales. ...
TLDR: Iceland’s tourism industry is poised to embrace smart tourism, but faces unique challenges. Key recommendations include strengthening stakeholder collaboration, creating a centralized tourism data platform, and investing in widespread data literacy. The good news? Iceland’s compact size and tight-knit tourism community make rapid transformation possible. Why This Matters Now Iceland stands at a crossroads. As global tourism rebounds and evolves, destinations worldwide are racing to implement smart solutions. But Iceland’s unique context – its small market size, distinctive challenges, and opportunities – means it can’t simply copy-paste solutions from larger markets like Spain or Singapore. ...
An exmple of report given to a spa. The goal was to analyse a sample of transactional data and derive actionable insight from the 4 months customer data. The code is accessible here ...
Snjallferðaþjónusta nýtir nýjustu tækni eins og gervigreind og stórgögn til að skapa persónumiðaða og sjálfbæra ferðaupplifun. Þessi nálgun getur bætt upplifun ferðamanna, styrkt staðbundið viðskiptalíf og stuðlað að sjálfbærni í ferðaþjónustu, en krefst umtalsverðrar fjárfestingar í innviðum og þekkingu. Imagine this: A tourist arrives in Reykjavik, excited to explore Iceland. As they step off the plane, their smartphone lights up with a personalised welcome message and a curated list of attractions based on their interests. Throughout their stay, real-time data on weather conditions, Northern Lights visibility, and crowd levels at popular sites help them make the most of their visit. This isn’t science fiction - it’s the promise of smart tourism, and it’s closer than you might think. ...