Designing the analytics and insights experience for Infor's hospitality BI platform — dense, configurable dashboards and Rover, the conversational AI assistant that lets anyone ask their data a question in plain language.
Infor Hospitality Analytics and Insights is a next-generation BI platform built specifically for hospitality — hotels, resorts, restaurants, casinos, and event venues. It unifies data from property management, POS, sales, and catering systems into a single source of truth, then turns it into clear, visual analytics teams can act on.
Unlike generic BI tools, it ships preconfigured dashboards and KPIs that already speak the language of hotel operations, revenue, and guest behavior. My work focused on the analytics and insights screens — and on Rover, the conversational AI assistant at the center of the experience.
Hospitality data is complex and fast-moving, and it lives in many systems at once. The promise of the platform is that anyone — not just an analyst — can make a confident decision from it. That's a hard interface problem: surface the few things that matter without burying them, and make the deep data reachable without demanding technical skill.
The design had to do two things at once: present dense, preconfigured analytics that revenue and operations teams trust, and offer a far simpler way in for everyone else.
I structured the analytics screens into tiers of attention, so the eye lands on what needs a decision now, then trends, then the full detail — and reserved color for signal rather than decoration.
Rover is the conversational layer over the data: users ask a question in plain language and get a real-time, visual answer — no queries, no technical skill. I worked heavily on the Rover experience inside the analytics and insights screens, designing how a question becomes a trustworthy answer.
A platform meant for everyone has to bend to each role. The screens are built around customization: drag-and-drop dashboards, a Report Builder, and widget-level control — so a revenue manager and a GM can each shape the view to the KPIs they care about, and share it without waiting on IT.
The result meets two kinds of user in one product: dense, trustworthy analytics for the people who live in the numbers, and Rover — a plain-language way in for everyone else. Treating conversation as a first-class part of the interface, not a bolt-on, is what makes the platform feel approachable rather than intimidating.
What I took from it: in BI, the design job isn't only visualizing data — it's lowering the cost of asking a question. The closer you get that cost to zero, the more people actually use their data to decide.