Using location data to enable confidence in police force data
In policing spatial data quality is key to day-to-day operational decision making. Incomplete or outdated location data such as address records can lead to inaccurate decision making in terms of police intervention, resource allocations and prevention of crime. Our Police Location Data Quality Hub enables you to take control of your geospatial data quality, by implementing automated rules, to manage and validate your location data
Operational decisions need to be made every day and police forces need to have confidence in the data informing those decisions.
Our solution gives you confidence in your data quality to make informed decisions based on complete, current and accurate data. Powered by 1Data Gateway and 1Integrate, the Police Location Data Quality Hub ensures your data has been quality checked and validated against an authoritative data source.
Poor quality location data creates risk for your department.
It limits officers’ ability to understand what is happening where whilst leading an investigation or responding to an incident. Our solution ensures data is validated and cleansed automatically, saving officer time whilst dramatically reducing the risks associated with poor quality data.
With 80% of data containing an element of “location”, geospatial data is becoming a key unifying reference that ties together various datasets. Our technology provides data quality validation and improvement across a range of police requirements where the data has a location element. Some examples to date include for example; cleansing police address records, correcting the location of incidents recorded, or updating data to ensure it follows current beat boundaries.
Location data is also key to enabling the POLE model (Police, Object, Location, Event) giving police forces confidence in operational decisions and freeing up resource.
Poor quality data can act as a barrier, resulting in low confidence in decisions and large amounts of time spent on repetitive tasks to prepare the data for use. For data to be an enabler it must be complete, current and accurate. However, making this a reality is a big task for police forces, unless they can maximise the digital opportunity by embracing data automation technology.
Blog: Avon and Somerset Police Proof of Concept (PoC)
Spatial data quality is key to operational decision making in policing. Incomplete or outdated location data (e.g. address records) can affect the speed of evaluation and analysis of a situation.Read now
Spatial data quality is key to operational decision-making in policing. Incomplete or outdated location data (e.g. address records) can affect the speed of evaluation and analysis of a situation. It may also lead to inaccurate decision making, incorrect resource allocation and missed opportunities to prevent crime. All of which could have a negative impact on the maintenance of trust within the local community.
A common issue is the lack of complete, current or accurate data and lack of interoperability between datasets within the force and other organisations. Ensuring location data in the Record Management System (RMS) is complete, current and accurate can be a time-consuming process and limited resources contributes to this challenge.
Our Police Location Data Quality Hub has been developed on the 1Spatial Platform using our Location Master Data Management tools and technology. The Hub incudes a series of apps, available through a simple and secure portal, that provide data quality validation and improvement in police data to ensure it is fit for purpose.
We understand that police forces want to “cleanse” existing inaccurate records and maintain high accuracy by consistently reviewing the data quality. Our Police Location Data Quality Hub allows users an automatic data cleansing solution, which is continuously checking the data, thereby ensuring that it is current, complete and accurate. Having continued high quality data, senior officers can be confident in the decisions they’re making, whilst maintaining trust with the community using evidence based policing.
To validate and cleanse the data we apply our rules-based approach with knowledge engineering. Rules are built using our ‘No code’ development product 1Integrate and knowledge is engineered from local officers to strengthen the automated and artificial Intelligence based solution. Given the large number of stakeholders using the data in an organisation, and the need for transparency with data management processes, our approach means the rules and actions through which the data is processed can be understood by stakeholders without the need to explain long complicated code sets.
Our Police Location Data Quality Hub drives interoperability between police forces by adopting our core capabilities and techniques, to ensure all departments are working from an accurate Record Management System.
The Hub offers a range of applications that address common data issues within police forces, enabling police forces to ensure they are using good quality location data. Giving officers the confidence in the data they are using for decision-making and maintaining trust within the community.
By automating the process of cleansing and updating data, officers can access the same central dataset which is complete, current and accurate. This improves operational efficiencies and better informs decision making for timely police intervention, resource allocation and prevention of crime.