
The Governance Challenge
Data governance refers to the framework of policies, processes, standards, and controls that ensure the effective and responsible management of data across an organisation. Security and risk management are central components of data governance; organisations must implement appropriate technical and organisational measures to protect data.
Effective data governance also involves the implementation of data quality standards to ensure accuracy, completeness, consistency, and timeliness of data. This is supported by data lifecycle management practices, including data creation, storage, usage, archiving, and deletion.
Our Approach
At Sentinel, our philosophy is simple: we are committed to exceeding client expectations across every aspect of data governance. By combining proven methodologies, expert consultancy, and robust technology solutions, we help organisations not only achieve their data governance goals but surpass them. As a result, we have established close working relationships with our clients as trusted long-term data partners.
Key elements of our data governance services include:
Data Governance Roles and Responsibilities
We enable role-based access and controls for data owners, stewards and custodians. Sentinel provides the visibility needed to monitor data quality, maturity, and consistency across the entire system landscape, enabling our customers to perform their responsibilities effectively with the right tools and insights at their disposal.
Policies, Standards, and Procedures for Data Management and Sharing
The configurability of our Platform allows it to align precisely with organisational policies relating to data processing, sharing, and retention. This provides transparency for both internal governance and external compliance obligations. The platform provides analysis and classification of data across all IT systems, supported by comprehensive audit trails that track data changes and activity.
Monitoring, Metrics, and Continuous Improvement - Data Maturity and Quality
Through automated processes managed within the platform’s job scheduler, data quality dashboards, reports, and extracts provide continuous monitoring from the moment data is received. This enables organisations to track how data is changing and improving over time, identify areas of improvement or decline, and detect patterns or anomalies requiring further investigation.
Data Lifecycle Management
By ingesting and processing information from all systems across the IT landscape, the Platform monitors and validates records to ensure compliance with processing, sharing, and retention policies. Automated dashboards, reports, and exception extracts help organisations quickly identify and address any compliance issues.
Data Security and Privacy
The Platform is designed to support the sharing of information in a controlled and secure manner, based on the principle of least privilege. User portals are tailored to the requirements of specific user groups, with all data access governed through role-based permissions. This is supported by a comprehensive consent management matrix and additional protections for Shielded Records containing highly sensitive information. There is a full system audit to show which users have accessed which records.
Data Architecture and Integration
Designed to support robust and automated data integration, the platform receives information from systems across the IT landscape, validates and matches records, and creates trusted Golden Records for individuals, properties, assets, and related groupings such as families. The most accurate and up-to-date information of the golden record can then be distributed back to source systems as required, to share latest information to all teams and departments.
Training and Data Culture
By constantly monitoring and policing data quality and maturity and sharing the outcomes with all data teams and data owners, the platform helps reinforce a strong data-driven culture where data should be manged correctly. Areas of improvement are highlighted, to help target training or system improvement where it is most needed.
Don't Take Our Word For It!
Sentinel's methods, systems, cybersecurity measures and data technologies are certified by ISO, HMG, and Microsoft. We wear our accreditations proudly and conduct regular quality reviews to ensure we are meeting obligations and ready for internal and external audits.
Our ISO Certifications
ISO CertificationsWe're proud to be certificated to ISO 9001, ISO 27001, ISO 22301, and ISO 14001, recognising our best-practice approach to handling client's data, establishing quality management principles, and providing a framework for Disaster Recovery and Business Continuity Plans.





