Business Intelligence (BI) for Parking lots

BI allows you to make parking lot operational decisions based on real data. Powerful technology that works for you.

Overview

When a vehicle enters a parking lot it creates data. That data includes details such as the picture of a license plate captured by the LPR cameras, time of entrance, entrance lane used, payment amount, payment type, duration of vehicle stay, and more. This data, if stored within an advanced Big data database and organized and displayed correctly can provide a parking lot/s operator with vital actionable information that will bring in more revenue and an improved parking experience.

In the past, if a parking lot operator wished to make data-driven decisions, they would need to collect all the information manually from separate systems – which would take a long time. After the data is collected, even more time would need to be spent on making sense of it all. As we all know – data, on its own, is worthless.

This is where BluePT Business Intelligence comes into play. The BI tools that work in cloud storage are those tools that are designed for processing big data – gather, store, and analyze data to create actionable insights for parking operators. The data gathered and analyzed can be used for research on the past metrics, to view real-time performance, and to make data-driven decisions for the future.

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Features of BI

In-depth analysis

The BI tools provide users the ability to drill down to the most minute details of the data. The data can be filtered and presented in many different ways on both a macro and micro level. An example of a macro-level analysis can be, searches at different cross-sectional levels such as the total number of visitors/payments/abnormal traffic-jams in specific lanes over a given period of time or in chronological comparison with a time period the previous year, etc... And a micro level it can be a report such as the number of entries and exits of specific license plates or occupancy status of a group of vehicles during a specific time period.

Live insights

Important details such as occupancy and revenue metrics in real-time. Knowing what’s going on in the parking lot at any given moment, allows the operator to make important instant decisions.

Dynamic pricing

Using the in-depth analysis tools, it becomes simple to create a dynamic pricing strategy for the future. The prices are created using accurate detailed data of when demand is high or low. Operators can now maximize revenues from their parking assets.