Customer Journeys
Retail
THE PROBLEM
Customers interact with a huge variety of systems during their stays at a large hospitality & entertainment provider: restaurants, hotels, rides, apps, websites, tours, etc.  Without insight across multiple activities, employees have trouble providing help or proactive support to lost or frustrated guests. While a traditional relational data warehouse exists, barriers to entry are too high, and data is updated too infrequently.
PROJECT COMPLEXITIES
  • The product is intended to create and support a market that does not yet exist.
  • Traders need an intuitive UX, but also an app that updates interactively and in real time.
  • Traders do not conform to “standard” user behaviors when interfacing with technology; they are looking at multiple windows on multiple stacked screens, and they can consume lines and lines of data with amazing speed.
“How do we anticipate customers’ needs and push them towards better journeys through our properties?”
OUR SOLUTION
By connecting to raw data sources and existing data warehouse tables and populating an easy to understand graph model, data scientists were able to create and verify a novel and complex customer behavior model in a matter of weeks, a solution that had eluded their team using SQL and a traditional data warehouse.
Expero constructed a web interface with the same information density traders have come to rely on.
Expero constructed a web interface with the same information density traders have come to rely on.
Expero constructed a web interface with the same information density traders have come to rely on.
Expero constructed a web interface with the same information density traders have come to rely on.
Expero constructed a web interface with the same information density traders have come to rely on.
Expero constructed a web interface with the same information density traders have come to rely on.
THE RESULTS
$50M
INCREASED REVENUE
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37%
Higher User Adoption
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75%
Performance Increase
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