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Understanding what has happened and where

For both public and officer safety when responding to an incident or investigating a crime

Not only is location important when responding to incidents, location data underpins operational planning and predictive analysis, optimising efficiency within existing budgets through evidence-based decision making.


This automated solution ensures that police records data are stored in the correct location. The app goes beyond the address on a record and validates both the coordinates of the record and the geometry, ensuring that when the data is used in data analytics and dashboards it is in the correct location.

Data insights enable officers to target resources in hotspots, ensuring they have both the right equipment and the right local knowledge. Not only does this give senior officers confidence their resources have been deployed effectively, it gives officers in the field confidence to carry out their duties.

Other key benefits:

  • Reducing crime rates
  • Increased visibility of officers reassures the public, helping to strengthen relationships between communities and their police force
  • Easy to use application
  • No need for police forces to embark on a long and expensive data transformation process.

How it works

This application takes a no-code, rules-based approach to ensure that each police record has the correct coordinates and geometry, meaning it is always shown in the correct location. After police data is submitted to the application, the application will check each police record against the Authoritative Government data to ensure that the police record has the correct coordinates and geometry. If the police record does not have the correct coordinates and geometry, the application will automatically update the police record’s coordinates and geometry with that of the Authoritative Government data and audit the change.

Correction of the data can be done at different confidence levels of address matching. If the record is an exact match the coordinates and geometry will be updated with a high confidence, and if there is a “fuzzy match” (i.e. a minor spelling mistake detected in one of the records) the correction will still take place but with a lower confidence score. Any records that have been changed but with a lower confidence score can be confirmed by the data quality team before being re-submitted to the live police database. All confidence scores are logged as part of the audit.

An additional audit certificate is produced at the end of the process certifying which data was run through which application and the results of that process, giving full transparency. The automated data correction can be applied to the live police database, or to data temporarily extracted from the live database. Whichever best suits the operating preferences of the police force.


You can find the answers to our most frequently asked questions on the Police Data Quality Hub.

Find out more

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