Solution

Quantiphi established a landing zone and deployed a data warehouse to consolidate historical camera feed data from three of the client’s customers. This unified data powered comprehensive cross-comparison of historical data that tracks key performance indicators such as entry /exit counts, occupancy, wait time, and queue length for each customer.

Our solution enhanced self-service capabilities by enabling customers to select date ranges and sensor areas for detailed insights into past crowd behaviors and dynamics.

The developed dashboards provided historical insights and displayed crowd metrics. These dashboards are seamlessly integrated into the client’s platform, enhancing usability and accessibility. Additionally, the solution was designed to quickly onboard new customers with minimal effort.

Results

Analyzed historical crowd movements effectively, enabling WaitTime’s customers to turn data into actionable insights, improving their venue planning and staffing operations
Effortless onboarding of new customers onto the developed solution with minimal development efforts
Secured data accessibility to provide valuable insights and improve on-ground user experience
Efficient storage of historical data to support descriptive and prescriptive analytics, with the potential to build predictive capabilities in the future
Ease of access to self-service capabilities