Enabling Representation of Parking Insights through Meaningful Visualization

Created interactive and integrated dashboards for Comprehensive & Enhanced Data Visualization

The client is a leader in providing professional parking services for cities and universities in the United States. Their specialties include processing in-state and out-of-state parking citations, permits, revenue collections, offering mobile solutions and facilitating municipal partnerships.

Business Objective

The client was in need of viewing and presenting parking insights through meaningful and industry standard visualizations.

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What services did Data-Core provide?

Data-Core provided interactive & integrated dashboards, reports and maps in Dundas BI.

  • Dashboards for Admin user, Tenant users, and API URLs.
  • Visualizations compare citations agency wide, over a period of time, by violation code, by officers.
  • Chart ranking officers, violations and locations where citations have been maximum.
  • Heat maps and street maps combined, plotting violations.
  • Gap reports.
  • User guide videos including activity reports and mapping dashboards/

Stand-out points from providing these services

  • Visualizations were provided for history data as well as real time data.
  • KPIs are shown on the maps, plotting the latest on-line citation issued for best and exciting real-time experience for end users.
  • Complex customized cascading filter panel was added to meet needs and enhance the reporting experience.

The project progressed to Predictive Analytics via Machine Learning using Python Script for monthly forecasting of parking insights and shown in dashboards.

We also implemented monthly forecasting using

  • Trend and forecasting functions to calculate regression line (or line of best fit) then applied to a time series to forecast future values.
  • Exponential smoothing function to apply decreasing weight to historical data in order to forecast future values based on emerging trends.

Strategic Benefits

The work related to visualization lead to enhanced predictive analytics via machine learning and enabled access to accurate data visualization results.

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