Data Governance Services

In an evolving landscape, a structured Data Governance approach helps organisations manage, utilise, and enhance data quality through technology. We begin with a data discovery exercise to build an evergreen data inventory that:

• Automates metadata discovery and consolidates data into a central catalogue.
• Adds business and regulatory context for compliance and consistency.
• Assesses data quality and aligns governance with privacy regulations.
• Defines and enforces data policies, including access, retention, and protection.
• Demonstrates compliance with privacy and security standards.

Our services are designed to help you implement and overcome challenges around managing data. Speak to an expert today to find out how we might be able to assist by providing the guidance and implementation of an effective data governance workflow.

Within the scope of the GDPR, if a business processing activity is likely to result in a high risk to the rights and freedoms of data subjects, the GDPR requires a Data Protection Impact Assessment (DPIA) to be completed, to ensure risks are mitigated and the process is compliant. We implement automated solutions designed to increase organisation-wide adoption. Complete with role-based templates and self-service tools designed to be integrated into project lifecycles. This becomes a central dashboard for a complete record of data protection activities. Our experienced team help clients implement:

● Privacy Impact Assessments (PIAs)
● Data Protection Impact Assessments (DPIAs)
● Transfer Impact Assessments (TIAs)
● Legitimate Interest Assessments “LIAs)
● Other internal privacy and security assessments.

This reporting allows each business division or department to streamline their processes and deliver Privacy by Design (PbD).

When we help implement effective data governance frameworks, we strive for three key outcomes.

● To Streamline Business Access to Data
Build a single source of truth into data across your organisation, allowing businesses to find what they are looking for faster and allow policies to be monitored and enforced more efficiently and effectively.

● To improve Data Quality
Automated discovery and classification of the data means improved classification accuracy, less manual work, and less human error.

● To unify Privacy, Security and Data Governance initiatives
Enable the business to work together within a single platform and reduce the volume of duplicated work across functional groups.