Articles
Booking lead time, or how far in advance a visitor books their ticket, is not a metric available in most ticketing systems. Calculate it dynamically in Dexibit to analyze booking behavior.
When it comes to managing the visitor experience for loyalty, there’s a lot of data insight that helps to convert, retain and increase the value of members or season pass holders.Â
Dexibit’s semantic layer abstracts, simplifies and standardizes data across your vendors and domains. Learn about how this connective tissue works.
Building a new attraction? Find out what you’ll need data wise, and when.
A beginner’s guide on writing queries to slice and dice your data.
We often see survey data with unnecessary questions.
Survey real estate is precious: surveys are expensive to execute, you only get so many responses and there’s only so many questions you can ask at a time.
So use your real estate wisely by avoiding asking things that can be answered elsewhere.
With AI, predictions can be made faster, with less work, while improving accuracy. How will your team use them?
When to work with Google Analytics data in Dexibit, why and how.
How to bring together multiple data sets into different visualizations for analysis.
How to visualize and analyze weather for dashboards, reports and insights.
For system administrators and data owners, we dive deep into the behind the scenes world of data to achieve transparency and control across your data landscape.
We dig into tone, emotion, topic, theme, actionability and more using AI across freeform visitor feeedback
Curious about generative AI and its role in data analytics? We’ve just launched AI Query Assist. At the click of a magic wand, turn your words into DxQL for insight to answer any question.
Curious about generative AI and its role in data analytics? We’ve just launched AI Query Assist. At the click of a magic wand, turn your words into DxQL for insight to answer any question.
What the age of generative AI means for leadership teams in visitor attractions, cultural and commercial.
Ravi Chandra, Chief Product & Technology Officer at Dexibit reflects on the team’s experience discovering, designing and going to market with generative AI.
The almanac is a calendar of what’s on in and around your location, used for context, machine learning and insight. Learn how to get the most from yours.
Tune in to hear from Victoria Alogna, Lead Data Scientist at Dexibit to hear about the latest in machine learning developments in Dexibit, and how to use AI in forecasting and planning.
Here, we dissect the top Key Performance Indicators (KPIs) for retail analytics in visitor attractions, metrics to manage in reporting and insights to explore to increase visitor upsells.
What does best in class ticketing analytics look like for visitor attractions? Learn key metrics and novel insights.
Managing retail stores, food and beverage or other auxillary revenue in a visitor attraction, including with third parties? Tune in with Veronika Skyrpal for the latest in retail analytics with Dexibit.