https://store-images.s-microsoft.com/image/apps.33105.466fefa7-6112-49a7-a219-1e04ec780a3d.577ba4a7-d31e-437e-b293-30b0dc80b59d.ce302c0c-7fa7-4504-a9ed-34deaf8c7860

Multi-agency Data Sharing

Capita Plc

MADS is a secure, cloud-based solution that enables public sector agencies to share data in near real time, identify risks earlier, and take faster, more effective safeguarding action.

Multi‑Agency Data Sharing (MADS) is a secure, scalable, and fully managed cloud capability that enables public sector organisations to share critical information safely, consistently, and in near real time. Built on Microsoft Azure, MADS unifies data from policing, health, education, social care, probation, youth justice, and local authorities into one secure environment - giving professionals the insight they need to identify risk earlier, make evidence‑based decisions, and intervene before harm occurs.

MADS removes long‑standing barriers caused by siloed systems, inconsistent data formats, and complex governance. It provides a standardised, compliant, and cost‑effective platform underpinned by Infrastructure as Code (IaC), enabling rapid deployment, easier scaling, and high levels of security.

Key Capabilities:

  • Secure cross‑agency data sharing with role‑based access controls, end‑to‑end encryption, and full audit trails.
  • Near real‑time data visibility to support early identification of risk and timely intervention.
  • Standardised data models based on safeguarding best practice for reliable, consistent insights.
  • Pre‑configured Azure cloud environment with automated deployment through IaC for fast, repeatable rollout.
  • Integrated data ingestion pipelines supporting both batch and near‑real‑time feeds.
  • Centre of Excellence for Data Sharing providing governance models, DPIAs, policies, templates, and cultural‑change support.
  • Comprehensive managed service including monitoring, security operations, patching, DR, performance optimisation, and ongoing enhancements.

Benefits:

  • Safeguarding & Public Protection
    • Identifies vulnerability earlier by consolidating multi‑agency data.
    • Supports evidence‑based decision‑making and proactive intervention.
    • Helps fulfil statutory obligations such as the Serious Violence Duty and broader safeguarding duties.
  • Operational Efficiency
    • Reduces duplication, manual data exchange, and inconsistent spreadsheets.
    • Streamlines referrals and case handling across agencies.
    • Frees up frontline capacity by automating core processes.
  • Economic Value
    • Lowers total cost of ownership through shared cloud infrastructure.
    • Reduces need for specialist in‑house technical skills.
    • Accelerates implementation by 40–50% vs traditional custom‑build approaches.
  • Scalable, Secure & Future‑Proof
    • Built on Azure’s IL3/Official‑Sensitive‑ready environment.
    • Easily scales to new agencies, new data types, and increased demand.
    • Designed for continuous improvement and long‑term sustainability.

Who It’s For?

  • Local Authorities
  • Police Forces
  • Health & Mental Health Services
  • Education Providers
  • Youth Justice, Probation & Prisons
  • Multi‑agency safeguarding partnerships (MASP)
  • Any organisation responsible for community safety and safeguarding

Typical Use Cases:

  • Children’s safeguarding and contextual risk identification
  • Domestic abuse and serious violence prevention
  • Mental health and complex needs pathways
  • Missing persons and vulnerability profiling
  • Cross‑agency threat, risk, and harm analysis
  • Community safety and early intervention programmes

Why Choose This Service? MADS is a proven, operational‑ready capability co-designed with UK policing, local authorities, and government departments. It provides a complete technical, governance, and cultural framework that removes complexity and delivers measurable safeguarding outcomes - without requiring major infrastructure change.

At a glance

https://store-images.s-microsoft.com/image/apps.21875.466fefa7-6112-49a7-a219-1e04ec780a3d.577ba4a7-d31e-437e-b293-30b0dc80b59d.ce50f901-3805-4049-9347-d7de11f920c2