Ready to upgrade? Talk to us.

Dexibit's premium plan provides you and your team with a complete big data analytics solutions to integrate various data sources for automated data operations, draw upon machine learning and natural language to help predict and analyze visitor behavior and access to all products in our portfolio to power your data mission:

  • Forecasts - predict visitation and revenue

  • Insights - rich data stories

  • Dashboards - personalized data views

  • Reports - design and automate

  • Almanac - a calendar of what's on in and around the venue

Plus, for multiple locations, manage your data across all your venues as a portfolio - even with various source systems and business rules at each.

To upgrade with Dexibit, talk to us.

Whilst your Success Manager will guide you through your data journey, here are three ways to get the best out of Dexibit when you first begin:

1. Day one access and team kick off

Before we begin, we'll ask for your daily visitation statistics for at least the past year and any other key metrics you wish to start with, such as footfall, tickets, membership or revenue. As our team prepare your account, we'll make sure it comes complete with starter data and dashboards, ready to roll!

We'll also gather together our teams for a combined kick off, where we'll review your data vision and strategy, the onboarding process and launch straight into a live demo of your solution.

After kick off, we'll follow up with any quick win data if any of your key metrics are still in progress, or if you're ready to integrate your digital systems.

2. Rules, Views and Goals

To get the most out of your data solution, we find it's useful to discuss data governance and workshop three core elements before rolling out to all users:

  • Rules - data provenance, lineage and permissions

  • Views - dashboards or reports you wish to share with your team

  • Goals - performance targets to report against

Over the course of your first few months onboarding, your Success Manager will facilitate a working session for each of these topics, advising on best practice, helping configure Dexibit as you go and providing advanced super user training on these topics.

3. Integrations for automation

Your Success Manager will manage the integration of your various systems across your data landscape. For complex systems, this will involve an integration process where we'll gather the inputs, handshake credentials, confirm design, implement the adapter and then accept integrity. This may include a variety of integration techniques depending on your source system vendors and what level of automation they support.

For these sorts of systems, it is usual to go through several iterations of data integrity review, particularly if we need to iron out data lineage, cleansing or other treatments to get your data looking just how you want it.

4. Rollout

With a good variety of data together and your solution configured, the earlier you can roll out to your users, the better! We recommend using an iterative approach to start small and use the interests of your end users to guide implementation focus (for example, what systems to integrate, the level of data integrity required or what reports to design).

Your Success Manager will help you evaluate a rollout approach, to all users at once, to select departments or to an initial group of early adopters before a phased rollout. We'll also provide end user training for your team.

5. Focus on insights

As early as possible, your Success Manager will gently pivot our joint focus to exploring value through insight stories and once onboarding is complete, will also reduce our cadence from onboarding sprints to monthly business reviews. Over the course of the first year or so, this will include steers towards continued adoption, usage and value to help your team get the most from their data.

These reviews will then form a regular routine to encourage empowered, agile and insight inspired teams through data. Over the course of time, we'll also provide operational support to monitor data quality and adapt to change (such as a change of ticketing system vendor).

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