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NDQIS

Home Office – National Data Quality Improvement Service

Overview

The National Data Quality Improvement Service (NDQIS) is a new national system developed for the Police Service. The system uses well-established software tooling supplied by Datactics, which improves the accuracy of the classification of the data by assessing the details within crime records and then updating the relevant fields in forces’ records.

Dates: 2017 – Ongoing

Integration Gateway:

  • Policeworks
  • Niche RMS

AWS Public Cloud:

  • Architecture
  • Security Architecture

Resources:

  • DV, SC and NPPV3 cleared

Datalynx

This is an ongoing project in which Datalynx has been involved since inception. We have provided, or are providing, the following:

  • Design and build of the RMS Gateway Application which provides interoperability between local force record management systems and central NDQIS services
  • Implementation of the System to more than forty forces across England and Wales
  • Infrastructure architectural services for NDQIS
  • Security architecture service for AWS

National Data Quality Improvement Service

Diagram showing the data flow of the NDQIS project. Automatic extraction to the force's RMS Gateway; extract to central RMS Gateway. Secure hosting of the Central Data Quality Service on AWS cloud. Cleansed extract sent to forces' RMS Gateway.

A secure, cloud-hosted facility for individual police forces to improve data quality

Implementation of NDQIS

  • Creating and managing the overall schedule for on-boarding forces to NDQIS
  • Force engagement documentation and on-boarding processes
  • Deployment into live environments

Architecture and Security Architecture

  • Technical leadership in the end-to-end design
  • Design of the NDQIS AWS hosting environments
  • Assurance and approval of the design
  • Security design and assurance including AWS

RMS Gateway Application

  • Design and build of the RMS Gateway Application
  • Testing
  • Release Documentation
  • Enhancements
  • Live Support

A guide to data migration success

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