How to support strategic and operational planning with machine learning forecasts to predict visitation and more.

Smooth data meetings aren’t a sign of alignment. They can also be a sign people don’t feel safe to say what they really think – or worse, that they don’t understand, from fear of what others might judge of them if they were to speak up.

How to support strategic and operational planning with machine learning forecasts to predict visitation and more.

We work through uploading and editing data of any kind, and configuring your data’s semantic layer all the way through to a visualization.

Learn all the latest tips and tricks for designing beautiful, easy to understand dashboards and reports for others in your team.

To showcase how meaningful design tips and tricks are when thinking about your annual membership or season pass product, pricing and promotion, we look at different elements from case studies across the visitor attractions sector.

Creating a successful annual membership or season pass program for visitor attractions requires thoughtful design, pricing, and user experience strategies.

With inflationary conditions over the past few years, we look at common general admission pricing and variances between ticket types, geographic locations and market segments.

Highlights as we look across the year in review for benchmarks on growth, pricing and happiness and tips on how to explore or even create benchmarking data in Dexibit.

A look at visitation year on year growth trends and influences for 2024, a year marked by turbulence and transformation.

Learn how to tenant and share data, dashboards and reports across your organization, including for multiple locations.

Speakers Adrian Thompson (Merlin Entertainments), Angie Judge (Dexibit), Ali Vahabzadeh (Safari AI) and Owen Jones (CmdCentr) provide a deep dive into the benefits, challenges and future of digital transformation, with a LEGOLAND case study.

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. 

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.