Data governance

What is data governance?

The Data Management Association International defines data governance as “collection of practices and processes which help to ensure the formal management of data assets within an organization.” Key areas of data governance include:

• Data architecture
• Data quality
• Master data management
• Meta data management
• Data warehousing and BI management
• Security and risk management
• Data operations management
• Data development

How can we help

Forvis Mazars provides data governance framework development and assessment services covering end-to-end assessments or ‘deep dives’.

Framework Development and implementation

We will develop data governance frameworks in line with leading practices to meet to the needs of your business. These can be holistic or focused on specific sub-areas such as data quality, architecture, data management and management information.

End-to-end assessments

The end-to-end assessments are designed to be a health check for organisations, giving insight into the current state of data governance. This option is favoured by businesses who do not have a governance plan in place, or those who are looking for assessment of ongoing data governance. Following the assessments, we will provide a report with detailed findings and recommendations, as well as identifying any areas for ‘deep dives’.

Deep dives

The ‘deep dives’ provide detailed view on specific areas of data governance in an organisation. The approach is tailored to business requirements and critically assesses key data practices, such as those listed below:

• Data strategy; Data architecture
• Meta data and master data management
• Data policies, procedures, and governance structures
• Data warehousing and business intelligence
• Data quality
• Data lineage (data flows and transformation)
• Data risks (security, availability, privacy, integrity, availability)

To discuss your data governance requirements, please contact us.

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