Stories from our customers

“Prior to closure, Dexibit provided streamlined access to many of our most important data sets, including attendance, building usage, and repeat visitation. But I continue to be most impressed with how Dexibit worked to meet the moments of closure and reopening, not just through sharing stories and providing access to examples, but also by building multiple now-essential tools.

Through the Simulation tool, we were able to easily map out multiple scenarios with shifting variables. We’ve used the Capacity tool to adjust our ticketing availability in real time, while the Benchmarks module provides an in-depth look at our recovery beyond a simple percentage. With these insights at our fingertips, we can focus our time on discussion and decision-making rooted in our actual data.”

Rachel Wolff
Audience Insight Analyst, Minneapolis Institute of Art

The Museum of Transport and Technology (MOTAT)

MOTAT is New Zealand’s biggest museum of its kind, combining history with innovation in a creative and interactive way. The museum governs two sites over 40 acres, connected by a functioning heritage tram with a busy event schedule.

Their management team were quick to see value in the emerging technology of big data analytics. In this video, Steven Fox, Teina Herzer and Mark Webster discuss how they’re using data for strategic and operational decisions.

Winners of the American Alliance of Museum’s 2020 MUSE Award – Enterprise Technology category.

“Dexibit provides a clean solution for active attendance and KPI monitoring, which has been especially relevant since opening. Prior to using Dexibit, we needed to pull this information directly from our ticketing system, put it into Excel, and manually insert our budget goals. Dexibit does this automatically, which saves a lot of time for our staff.

With the insights available in Dexibit, we can now focus on understanding underlying factors and trends in our attendance, where they’re coming from, and how this informs operational decisions. We’re now sharing Dexibit with the wider team at the Aquarium to drive data insights into their daily routines.”

John Rouse
VP of Operations, Aquarium of the Pacific 

The National Gallery

The National Gallery, London, is working in collaboration with Dexibit to use big data for predictive analytics. This is a new approach for the Gallery whilst it further develops its digital strategy.

We’re helping the Gallery explore how to move beyond simply analysing past visitor experiences in the museum, to employing innovative predictive analytics in forecasting future attendance and visitor engagement. Members of the digital team Chris Michaels, Lawrence Chiles and Emma Harris explain why it matters to them.

“The Simulation tool is most useful to help narrow down the number of potential futures. This helps create space and time for our team to make more pro-active decisions, rather than reactive decisions based on catastrophizing and getting overwhelmed by uncertainty.”

Kyle Wilbert
Visitor Experience Manager, The Museum of Arts and Design

Read the full case study ›

Museum of New Zealand Te Papa Tongarewa

This national museum boasts 1.8 million visitors a year – a significant achievement of tourism and repeat visitation amongst Wellington city’s local population of only 490,000.

The Museum’s history, science and art exhibitions are currently undergoing its most significant transformation since its opening back in 1992 on the Museum’s mission to ‘change hearts, change minds and change lives’. This transformation is supported by a full scale digital program complete with the Museum’s own world first incubator Mahuki.