Data Governance

Data Governance

At the heart of every Privacy compliance program

Without a detailed understanding of what personal data is collected, processed, and stored by your organisation you are unable to effectively manage your Privacy stance. It makes sense to start the creation of your Privacy program by discovering and documenting the personal data.

At the heart of every Privacy compliance program

Without a detailed understanding of what personal data is collected, processed, and stored by your organisation you are unable to effectively manage your Privacy stance. It makes sense to start the creation of your Privacy program by discovering and documenting the personal data.

Structure sparks success

A structured approach to Data Governance enables businesses to properly govern, utilise, and improve data quality. As a result, users can drive business value while complying with the latest privacy regulations and security frameworks.

Three Key Goals

The three main objectives of any Data Governance solution are:

✔️ To Streamline Business Access to Data

With a single source of truth into data across your organisation, the business can find what they are looking for faster, and policies can 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.

Data Discovery

The Data Privacy Group implements a Data Discovery solution, powered by OneTrust, that creates an evergreen data inventory. Our solution:

  1. Enables discovery and population of data in real-time into a single source of truth and allows data citizens to understand it with universal taxonomy.
  2. Uses automated discovery processes to populate metadata into a centralised and easily searchable data catalogue.
  3. Applies business and regulatory context to data to ensure regulatory requirements are understood while also establishing a shared business language.
  4. Assesses the quality of your data through deep scanning and profiling of data.
  5. Orchestrates data governance activities to ensure your data collection, storage, and use meets all applicable privacy rules and regulations.
  6. Enables the definition and enforcement of data policies such as user access, data retention and residency, data minimisation and data protection.
  7. Monitors and flags risks and violations across your data ecosystem.
  8. Enables collaboration across business functions to remediate findings, apply compensating controls, and reduce risk.
  9. Demonstrates compliance with privacy and security obligations.
  10. Facilitates business transformation by empowering business users, analysts, and data scientists to search and discover the data they need through an intuitive and easy-to-use data catalogue.
  11. Allows the business to search, explore and understand data across all systems in a self-service fashion.
  12. Operationalises data access and data masking to data warehousing tools such as Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery, and Snowflake Cloud Data Platform via pre-built or custom integrations.
  13. Encourages data literacy by ensuring data citizens fully understand the data and their obligations before use.

The 5 key deliverables of Data Governance

A. Data Catalogue

A business-facing portal for users to search and filter across any property, any object, any data element to find data that matters.

B.Data Dictionary

Enabling the management and technical understanding of metadata, how it’s classified, and where it’s stored in addition to its origin, format, use, and hierarchical relationships to other data.

C.Business Glossary

Allowing data stewards, technical users, and business users to collaborate on an enterprise-wide repository of your organisation’s relevant business terminology to create a common understanding of data.

D.Automatic Data Lineage Map

To maintain relationships and visualise how data flows across systems to create a clear understanding of where data originated and what processes and transformation procedures it went through within the organisation.

E.Policy Management Module

To maintain and enforce rule-based data policies in the context of applicable regulatory guidelines​.

Data Mapping

Even though not every Data Privacy law mandates the creation and maintenance of a set of Records of Processing (RoPA), the need is universal. Your Data Map forms the foundation of your Privacy compliance program. 

The Data Privacy Group implements a Data Mapping Solution, powered by OneTrust, that allows:

• The creation and maintenance of evergreen data inventories
• Visualisation of the flow of data across your business and to third parties and across jurisdictional boundaries (third countries)
• Automatic creation of Article 30 records and other compliance reports.

Assessment Automation

Privacy Impact Assessment (PIAs) are essential in helping privacy professionals identify and guide the use of personal information across the organisation. PIAs require tight collaboration between the privacy office and business leaders to address privacy-related regulatory requirements. Data privacy should be considered in the initial design stage of a project, and organisations are responsible for putting in place the appropriate policies, procedures, and systems to enable a “Privacy by Design (PbD)” approach.

A central dashboard for a complete record of data processing activities.

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.

Our Assessment Automation solution, powered by OneTrust, is designed to increase organisation-wide adoption through role-based templates and self-service tools that are integrated into project lifecycles. All privacy projects across the organisation are consolidated into a central dashboard for a complete record of data protection activities.

The Data Privacy Group implements a solution, based on OneTrust, that operationalises Privacy Impact Assessments (PIAs), Data Protection Impact Assessments (DPIAs), Transfer Impact Assessments (TIAs) and Legitimate Interest Assessments “LIAs), and other internal privacy and security assessments, allowing each business division, department, or team to standardise and streamline their processes and systems to ensure compliance and deliver Privacy by Design (PbD).

With The Data Privacy Group, you'll always get...

Fast-track to compliance

Scaleable processes

Round the clock support

Instant expert help

No nasty surprises

Reduce your time to value