Module 12: Data Governance Checklist

See Module 4

• The data governance program is tailored to the agency’s specific business needs and strategic objectives, and has buy-in from key functions across the organisation
• An enterprise-wide data maturity assessment has been undertaken to identify the core data-related issues that need to be addressed to support desired business outcomes
• The data governance program is focused on solving a specific business problem and focus areas for the data governance program have been identified and prioritised according to their business value
• The strategy for data governance, as well as the outcomes of data governance initiatives, is frequently communicated to staff to ensure the vision is shared, accepted and sustained
• Metrics have been developed to assess whether the data governance initiatives are helping to achieve desired outcomes
• The data governance program is rolled out incrementally across the organisation

See Module 5

• A cross-functional senior executive data governance body has been established to oversee data governance decisions and activities across the organisation
• Working groups have been established to drive data governance projects and address specific data issues across the organisation
• The expectations and responsibilities of agency data governance bodies have been agreed to and communicated with staff across the organisation
• Working groups report on a regular basis to the overarching data governance body to ensure bottom-up, as well as top-down, information flows
• A visual representation of the agency’s data governance structure exists that is accessible to all staff

See Module 6

• Roles and responsibilities have been assigned for all data assets and these responsibilities have been documented in a data catalogue
• Roles are appropriately matched with the responsible person’s skills, expertise and delegation level
• The agency has a data governance framework or organisation policy that specifies who is accountable and responsible for various aspects of the data
• Roles and responsibilities have been adapted to meet the agency’s needs, organisational environment, culture, existing structure, and any limitations
• All data sharing agreements and service arrangements clearly specify data rights across the full data lifecycle
• A visual representation of the agency’s data roles and responsibilities exist that is accessible to staff within the organisation

See Module 7

• Senior leadership display strong, explicit and ongoing commitment for data governance
• Senior leadership recognise and address data resource needs and infrastructure requirements to support data governance
• A senior executive decision-making body has been set up and senior leadership participate in decision-making on important opportunities and risk mitigation issues relating to organisational data assets
• Data metrics and goals have been incorporated into organisational plans and reporting
• A member or members of the senior executive (aka Chief Data Officer) has been appointed to lead and champion the organisation’s data governance agenda

See Module 8

• A targeted, multi-channel communications plan has been developed and implemented that aligns the agency’s data initiatives with the organisation’s overall objectives
• Staff have access to learning resources and training opportunities to grow their data literacy
• The effectiveness of data governance initiatives is measured and communicated to staff
• Each business unit across the agency has an assigned data leader to champion and engage staff on data governance initiatives
• Performance metrics have been developed and staff that demonstrate data-driven values and behaviours are recognised and rewarded
• A network exists for staff across the organisation to collaborate, lead and advocate for the agency’s data agenda

See Module 9

• A workforce skills and capabilities needs assessment has been completed
• A workforce strategy has been implemented to address data skills and capability gaps
• Staff have access to professional development opportunities (both face-to-face as well as online training) to build both foundational and specialised data skills
• Teams are either cross-disciplinary or staff with specialised data skills are spread across the organisation and can be leveraged by teams when required
• All staff have access to data governance resources and are aware of, and trained in, relevant data governance policies and procedures
• All role descriptions include the data skills and capabilities that are relevant to the data management activities that staff are expected to undertake

See Module 10

• A current state technical capabilities and architecture assessment has been completed
• Areas for improvement and automation have been prioritised based on business needs
• Data governance policies and processes and data management workflows are automated (where appropriate)
• Technologies are compliant with privacy and security requirements and ensure the privacy and protection of data
• Implementation of new technologies is accompanied by education, training, documentation and adequate user support
• Technologies are well-integrated into the organisation's business culture and processes, have user buy-in, and support users to perform their roles more effectively and efficiently
• Technologies are monitored and regularly reviewed for improvement