Data and Information Governance

For organisations experiencing growth, we can design a Data or Information Governance Framework that establishes shared rules, processes, and accountabilities to be universally adopted across the business. This ensures that organizational data privacy and compliance are upheld. The Framework will guide the business in maintaining the quality, integrity, security, discoverability, accessibility, and usability of its data assets.

Our methodology emphasises data quality, metrics development and alignment, change management, data cataloging, and data lineage, solidifying the foundation for a robust and effective data governance framework. This enables your organisation to fully leverage the asset and intelligence that your data represents.  We are also equipped to collaborate with you in shaping your AI Governance strategy and in creating agentic workflows to effectively monitor your AI utilisation. This will help you assess compliance with the new Australian Government AI Ethics principles.

We offer services that ensure your AI and data usage is consistent, safeguarded, and meets quality standards, allowing your agentic workflow to progress in the right direction. Specifically, our offerings include:

• Information Lifecycle Management: Concentrating on the complete journey of information from inception to disposal, ensuring adherence to legal and regulatory requirements.
• Privacy and Security:  We focus on effective advice that is built upon the CIA Triad and "Privacy by Design" principles to ensure a proactive rather than reactive stance. The focus on Confidentiality, Integrity, and Availability ensures that only authorised users access data, that the data remains accurate and unaltered, and that it is available when needed for business operations.
• Maturity Assessments: Benchmarking your current standing against industry standards such as CMMI or DCAM.
• Operating Models: Developing and then outlining key roles including Data Stewards, Data Owners, and Custodians.
• Policy Creation: Developing and setting the foundational guidelines for data usage, retention, and security.
• Data Lifecycle Management: Enhancing your organisation’s comprehension of the creation, processing, storage, and retirement of data.
• Framework Proficiency: Leveraging our experience with recognized frameworks like DAMA-DMBOK or COBIT.
• Tooling Expertise: Familiarising your organisation with Data Governance and Catalog tools (e.g., Collibra, Alation, Informatica, or Microsoft Purview) to automate lineage and metadata management for agentic analysis.
• Data Quality (DQ): Utilising your organisational expertise to define DQ dimensions (accuracy, completeness, timeliness) that all employees should understand for data quality purposes, alongside providing training for a democratised approach to data and the establishment of employee-led monitoring dashboards.

NSW Government Client

Establishment of Policy, Project and Policy Approach and Documentation for use in a NSW Government Department

Sensemaker was commissioned to deliver a robust program of policy, business case and reporting for moving to a modernised policy architecture to align with the expanded and ever increasing responsibilities of the IT business unit.  The end products were needed to build through and approach that would also fit for AI and Cyber Security improvements that were also on the rise.

Testimonial from client:
"I reviewed the document pack and they are brilliant. I have no issue at this time, happy for you to present it to the team. These will form the basis for implementation and allow us to build the business cases for the upgrades we need."

Deliverables:

• Data Discovery Report
• Data and Information Management Business Case
• Data and Information Management Policy
• Project Report
• Proposed Data Classification Index
• Proposed Data and Information Classification handling and labelling guidelines
• Unified Data Governance and AI framework with recommendations