Data Science and Analytics

Organizations today are overwhelmed with data and are challenged with data management, organization, and analysis. Datasets have historically been mostly disparate and lack key customizations to inform you of how your system is performing.

Parking and curbside management systems rely on a range of and services to inform organizations of their operations, key performance indicators, and ability to serve their community.

Walker helps system and facility owners and operators leverage their data to strengthen insights, understand gaps and improve efficiency. Adopting a data-driven approach to facility or operations management will enable you to tell your data story. Walker’s data science team can help evaluate your data to understand gaps, provide insights and improve performance and outcomes.

Data Collection and GIS

We collect data to establish a baseline of geographical boundaries and identify the sources of data creation.

Data Aggregation and Dashboards

We aggregate data sources and model resources in a structured way.

Data Analytics and Monitoring of KPIs

We actively monitor data activity and set key performance indicators structured around the industry and your needs.

Recurring Data Evaluation

We meet on a regular schedule to review system health and provide guidance on improvements.

Mobility Services

We actively use mobility data feeds, like transit and bikeshare, to provide insights on service levels and infrastructure planning.

Curb Management

We understand precise curb activity to model demand and support planning and policy prioritization.

On- and Off-Street Parking

We can integrate both on- and off-street systems, ensuring data is stored in a central repository.