Why it matters
The picture leadership needs to decide.
The decisions that set next season's course — where to put budget, staffing, and capital — reward conviction and punish guesswork, and conviction comes from trusting your numbers. The Park Operations Platform builds its Business Intelligence layer on the operational record itself, reading the events that actually move your results like ride throughput, weather-driven attendance, food waste, and labor productivity by position. The gap between organizations that decide on data and those that decide on instinct is not small.
Source: McKinsey & Company, Five facts: How customer analytics boosts corporate performance (DataMatics survey of 400 large companies).
Who uses it
- Executives, GMs & regional directors
- FP&A and finance
- Operations directors
- Data & analytics teams
- Marketing analytics
What it does
Strategic analytics, built on real operations.
Executive scorecards
Your leadership reads the same strategic picture in one glance.
- Pre-built scorecards for GM, finance, ops, marketing, and HR
- Strategic KPIs in one executive view
- Shareable views for leadership and the board
Comparison & trending
See what's really shifting underneath you, season to season.
- Cross-property performance comparisons
- Season-over-season trending
- Multi-period views for operations directors
Forecasting
Staff and stock to what's coming, not to last week's guess.
- Attendance and revenue-mix forecasting
- Labor-demand prediction
- Food-prep and food-cost predictive models
- Forecasts that feed scheduling and prep decisions
Configurable data marts
Everyone works from one definition of the truth, not three.
- Slice by date, location, day-part, or demographic
- Reusable, governed views across teams
- Consistent definitions everyone can trust
Guest analytics
Know which guests drive value and how to keep them.
- Cohort analysis on guest data
- Lifetime-value modeling
- Segmentation for marketing and pass programs
Self-serve & export
Your analysts get answers without waiting on a rebuild.
- Query builder for analysts
- Scheduled exports and shareable views
- Clean read-only access for external BI tools
Built for parks
Modeled on how a park actually performs.
Models built on capacity, throughput, weather phase, and seasonal cohort — the measures that actually explain a park's results, not generic retail averages.
Attendance and revenue compared on a same-day-of-season basis rather than raw calendar date, so the numbers line up the way operators think about them.
Weather, holiday, and event calendars are part of the time-series analytics, so a soft Saturday reads against the right context.
Forecasts feed labor scheduling, food prep, and ride staffing directly — analysis that turns into action rather than a slide nobody acts on.
How it works in practice
Sample workflows.
- A GM opens the executive scorecard and sees June Saturdays running 8% below the same period last year on per-capita food & beverage revenue — even though attendance is flat.
- Drilling down shows average ticket has dropped, pointing to a shift in menu mix rather than a traffic problem.
- Clicking through to the F&B menu-performance dashboard reveals combo meals down while à la carte rose.
- The GM hands the finished analysis to the food & beverage director with the cause already isolated.
Connected by design
Business Intelligence doesn't work alone.
Connects to your other systems
- The BI tools your teams already use
- Your data warehouse as an export target
- Your own data-science and forecasting stacks
See your numbers come to life.
A 30-minute working conversation — we'll walk through the scorecards and forecasting with scenarios drawn from operations like yours.
Book a demo