Data Governance


Data Governance represents a number of processes, procedures, roles, policies, standards and metrics that ensures the efficient and secure use of an organisations information. This ultimately provides value to the business by allowing it to leverage of its data as an asset and achieve key objectives. The implementation of leading technologies and practices sets up an organisations data governance strategy for continuous success while minimising impact on resources or creation of complex processes.


Implementing proper data governance through an affective deployment framework allows for businesses to leverage off their key asset (data) for future growth.

The creation of various policies assists ensures the correct creation and handling of accurate data is done. This assists in the standardisation of how data is used, collected and processed in an organisation.

The ability to collect the correct data and store it in a structured manner that has the appropriate access and controls is a primary element of data governance. This is supported by proper processes and procedures and associated with proper mapping of data through a data model. Ultimately this is to be adopted over the entire organisation that will enable proper data driven decisioning and insight.

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. Reducing duplication work across functions and enabling the business to work together within a single platform.


Data catalog

The ability to allow for an informative and searchable inventory through metadata on all data assets in an organisation. Data cataloging capabilities provides a single platform to turn existing compliance activities into data intelligence. Enable authorised users to interact with associated data when performing various activities from collecting to enriching of data while executing upon data governance or privacy programs.

Data lineage

Implementing the appropriate technologies to assist in understanding the lifecycle of data from origin to destination and how it is used in the organisation has a number of benefits. This enables the maintenance of relationships and visualization of how data flows across various systems. The ability to identify where data originated from and what processes and transformation procedures it goes through assists in identifying impact of system or process changes. Compliance reporting can be achieved through the enablement of business rules and tracking of changes across the identified data sets.

Policy management

Maintain and enforce rule-based data policies in the context of applicable regulatory guidelines. Define data policies such as user access, data retention and residency, data minimisation and data protection. Monitor and flag violations across your data ecosystem. Collaborate across business functions to remediate findings, apply compensating controls and reduce risk.

Records management

Manage records while complying to legislation, enforce auditable records lifecycle management and access controls. Allow for proper implementation of fileplans, taxonomies and defendable disposition. Assist with easy to identify sensitive or business critical data for query resolution or business intelligence when indexed with correct metadata. Enable proper control for security and access management based on roles associated to records, this includes duplication or copying of records to restricted data sources. Allow for proper auditable reporting and version controls with associated information across record sets. As a data source records management can contribute to a number of business controls and processes while implementing proper retentions and records management practices defined within an organisation records management policy.


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