Data Risk.
Gain control of your data.
Data visibility established
Clear understanding of what information exists, where it sits, and how it supports the business.
Lifecycle control embedded
Information managed from creation through to disposal with defined, defensible practices.
Risk translated for business
Information risks articulated in commercial language to support confident decision-making.
Ethical use enabled
Advanced analytics and AI adopted with fairness, accountability, and oversight built in.
Structure in place.
Lifecycle governance in practice.
Information governed at scale.
Aligned to strategy & oversight.
The Data Risk service supports organisations managing increasing volumes of data across systems, teams, and jurisdictions. Ctrl works alongside leadership and operational teams to embed practical controls that support strategy without slowing progress.
Data Risk.
Services.
Comprehensive mapping of personal and sensitive information across systems and vendors.
Discover more [ DATA LIFECYCLE MANAGEMENT ]Structured management of information from creation to deletion.
Discover more [ INFORMATION & RECORDS MANAGEMENT ]Frameworks to manage structured and unstructured information assets.
Discover more [ DATA ETHICS & BIAS ASSESSMENTS ]Assessment of ethical and bias risks across AI and analytics initiatives.
Discover more [ RETENTION & DISPOSAL SCHEDULES ]Development of defensible schedules aligned to legal and operational requirements, reducing over-retention and unnecessary exposure.
Discover more [ INFORMATION & DATA RISK PROFILE ]Structured articulation of information risks and controls in business terms, enabling leadership clarity and aligned decision-making.
Discover moreVisibility across your environment.
Data grounded in certainty.
Integration Across Data Lifecycle
Regulatory Readiness
Program Maturity
Operational Governance
Executive & Board Alignment
Ethical AI Oversight
Notifiable Data Breach Preparedness
Policy & Transparency Design
Embedded Advisory Support
The Data Risk service is a structured approach to managing organisational information as a business asset. It defines how data is created, classified, stored, shared, retained, and disposed of. A strong information and data governance framework improves visibility, reduces regulatory risk, and ensures information supports operational and strategic objectives.
Why is a data governance framework important for organisations?A data governance framework establishes clear accountability, policies, and controls for managing information across systems and teams. Without defined governance, organisations face duplication, inconsistent practices, regulatory exposure, and reduced data reliability. A structured framework enables consistent decision-making, defensible retention practices, and stronger business performance.
What is included in a data processing inventory?A data processing inventory documents what personal and sensitive information an organisation collects, where it is stored, how it is processed, who has access, and the purpose for processing. It is often a regulatory requirement and forms the foundation of both privacy programs and broader data governance initiatives.
How does data lifecycle management reduce risk?Data lifecycle management defines how information is handled from creation to deletion. By controlling collection, access, storage, archiving, and disposal, organisations reduce over-retention, limit unnecessary exposure, and improve operational efficiency. Clear lifecycle controls also support compliance and defensible decision-making.
What is a retention and disposal schedule?A retention and disposal schedule defines how long different classes of information must be kept and when they should be securely deleted or archived. It aligns legal, regulatory, and operational requirements with practical business needs, reducing risk associated with excessive data storage.
Who should implement an information and data governance program?Information and data governance is suited to organisations managing large volumes of structured and unstructured data, operating in regulated environments, adopting AI technologies, or seeking improved visibility across systems. It is particularly valuable for organisations with complex operational, regulatory, or cross-border data requirements.