Parking Analytics (PA) has been developed by Shared Knowledge Solutions and is based on over 15 years of experience of providing applications to the parking industry.
Parking Analytics provides car park companies with detailed, accurate information to effectively measure their business performance.
The system collects and consolidates data from barriers, payment machines, web based payments and booking information, giving the right people the right information and insight to improve performance throughout the organisation.
Wasted time and effort is eliminated and accuracy is improved by providing a single system that is easy to use by employees in all parts of the organisation.
High participation planning, forecasting and yield management/price optimisation functionality drive performance, are just some of the systems capabilities which can help improve overall profitability and a benchmark for measuring success.
SKS has unrivalled experience in the car parking industry having successfully implemented and maintained performance management applications at leading parking companies for over ten years.
Financial Reporting
- PA consolidates your P&L
- PA will integrate with your General Ledger
- PA has a budgeting & Forecasting capabilities
Operational Analysis
PA will extract data from car park barriers and other equipment
Transactions
- Payments occupancy
Roll-up (turn up and pay)
Pre-booking
- Transactions
- Occupancy
- Cancelations
- Amendments
Time and Attendance
Price setting data analysis
Regression analysis
Elasticity of price
- How much can we increase price
- Historic price change data
Years worth of data
- Avg daily amount
- Seasonality of trends
- Trend analysis
- Historic Weather / Holiday analysis
- Weather forecast
Cash reporting
Payments
- Cash
- Credit card payments
- Season tickets
- Vouchers
Audit of cash being emptied
- At machine
- Office count (minus fake coins / euros)
- Banked
Money used to replenish hoppers
Balance of money taken
Flash reporting
Money paid in
Breakdown of cash entered
Yield & Price Management
Price setting data analysis
Regression analysis
Elasticity of price
- How much can we increase price
- Historic price change data
Years worth of data
- Avg daily amount
- Seasonality of trends
- Trend analysis
- Historic Weather / Holiday analysis
- Weather forecast
