Enabling government departments to transition towards a data driven organisation by adding the data layer between the services and infrastructure layers of the government. This enables government institutions to track information, monitor multiple variables in a convenient web tool to make decision faster, and more efficiently.

Insightful analytics

The data layer between the services and infrastructure layers of the government can be optimized to reveal new insight. The data points can improve in the efficiency of data visualization, and decision making.

Data collection and storage

Cities create enormous amounts of data from different sources. Systems that can standardize, and store information when required can be very useful to perform custom analysis by different stakeholders.

Share information quickly

The process of making information available to different departments, and ability to share information creates transparent governmental organisations.

Develop data policy

Moving towards a data driven approach, requires a strong data policy. This formalizes the process of ingesting, processing, storing, and sharing information. It also deals with security of data handling which is an ever increasing concern.

Use cases

  • Traffic flow simulations for mobility mapping can be used to:
    • Improve bicycle share.
    • Public transport design for increased usage.
  • EnergyAtlas to monitor energy consumption of the city to:
    • Adjust demand – supply curves
    • Create refurbishment plans for older buildings.
  • Innovation district urban planning
    • Startup ecosystem indicators can be mapped to improve collaboration.