Next Generation 9-1-1
Save lives and improve the efficiency of Emergency Services by ensuring accurate location data
In the past 20 years, advancements in modern communications technology have created the need for a more advanced system to access emergency care. Much of the required GIS data is currently inadequate to support the needs of the Next Generation 9-1-1 as it has often been established to serve other purposes. Our Next-Generation-9-1-1 Solution provides validation of network data, address data and the National Emergency Numbers Association (NENA) to help your emergency service departments, improve disparate or incomplete data, in order to create one single source of truth.
Video case study: The State of Minnesota's transition to NG9-1-1
Find out from Sandi Stroud, 9-1-1 Manager for the State of Minnesota, as she discusses their transitioning journey to Next Generation 9-1-1.Watch Now
We know how important it is getting the right services to the right location with data you can depend upon, so our solution has NENA rules implemented, to validate the emergency service data, allowing you to identify and resolve any non-conformances.
We know that as the use of GIS data shifts from mapping to call routing, the completeness and accuracy of this data must improve dramatically. Our built-in validation of non-conformances makes fixing data errors more efficient, allowing you to improve the response times of your emergency service.
The existing manual process and synchronization between different departments allows for data subjectivity. Using our NG9-1-1 solution, you can automate your data validation removing any subjectivity that may arise from a manual process.
In the past 20 years, advancements in modern communications technology have created the need for a more advanced system to access emergency care. While the existing 9-1-1 system has been a success story for more than 30 years, it has been stretched to its limit as technology advances. To meet these modern demands, legislation has been established to incorporate the use of GIS data to support 9-1-1. However, much of the required GIS data is currently inadequate as it has often been established to serve other purposes. As the use of GIS data shifts from mapping to call routing, the completeness and accuracy of this data must improve dramatically.
Another challenge that multiple emergency services face, is integrating the road network data, from multiple different sources of data e.g. multiple cities, counties or states. This GIS data also needs to be validated before integration, in order to comply with the government standards e.g. in the USA, the NENA standards.
Furthermore, the road network data needs to maintain synchronization between different departments, e.g. Department of Transport and state agencies/government and corporate organizations. These departments are likely to hold different representations of the data, dependent on their business needs, but they also need to be managed in synchronization.
Our Next-Generation-911 Solution provides validation of network data, address data and the National Emergency Numbers Association (NENA). The NENA rules have been implemented, for validation of the emergency service data, to identify any non-conformance. Our rules-based approach identifies where the data requires adjustment, e.g. where address points are in proper alignment with address ranges, also known as ‘fishbone analysis’. This analysis provides critical information that can be utilized to improve the accuracy of the data and therefore the speed at which emergency services can reach their desired destination.
This geospatial data solution helps emergency service departments, improve disparate or incomplete data, in order to create one single source of truth. This will therefore improve communication, leading to quicker response rates and a more efficient level of service for the community.
Our geospatial data solution ensures that emergency services are using validated and integrated data and any issues with the data are rectified as quickly as possible. The automated process saves a considerable amount of time and resources, providing a single source of truth for multiple emergency service departments. Ultimately, by having a complete dataset, the emergency service departments will be able to react to incidents quicker and make decisions confidently, based on quality data. Therefore, communities will receive a better level of service because of the faster response rates.