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Discover why effective data management keeps technology focused on business goals, improves AI outcomes, and ensures data remains fit for purpose.

Discover ways analysts turn documented data strategy into everyday decisions, strengthen governance, reduce duplication, support business outcomes.

That spreadsheet is not a workaround anymore. If one file, one person, or one undocumented process keeps the business running, you have a hidden data risk problem.

Our Director, Lloyd Robinson, presented at the DAMA Australia Conference 2026 on the topic Truth, Trust, and Plausible – What Really Matters For Data Management in The Age of AI? Watch his presentation.

A single source of truth is not one number. It is one trusted, governed foundation. Different teams can produce different answers and still be right. What matters is clarity, context, and consistency. When definitions are documented and understood, differences stop being problems and start becoming insights.

AI may run on software and hardware, but its success depends on data. Without strong data management, projects stall under questions of trust, consistency, and compliance. Data stewardship bridges business and technology, ensuring quality and governance. Organisations that invest in disciplined data practices will unlock scalable, reliable AI.

AI is transforming data visualisation, making it faster and more accessible. However, while tools boost efficiency, real value depends on data quality, context, and creating dashboards that truly deliver insight.

AI agents promise powerful automation – but without strong data management, they fail. Clean, curated data improves accuracy, reduces costs, and unlocks effective agentic workflows.

Delivering dashboards is easy. Delivering decisions is harder. Discover why measuring outcomes, not output, is the only way data creates real business value.

Learn how raw data becomes valuable business products through deliberate pipelines, refinement, and design, turning fragmented information into trusted dashboards, reports, and datasets that drive better decisions and sustainable growth.

Is system integration overdue? Learn the clear warning signs, practical first steps, and data management best practices to reduce costs, improve quality, and create a single source of truth.

“Just one more column” creates confusion, slow queries, and technical debt. Star schemas keep data warehouses scalable, performant, and understandable over time.

The best defence isn’t just technology, it’s people who understand their responsibility and act accordingly.

The best defence isn’t just technology, it’s people who understand their responsibility and act accordingly.

The best defence isn’t just technology, it’s people who understand their responsibility and act accordingly.

The old excuse no longer holds. “Garbage In, Garbage Out” belongs in the bin – it’s time for data professionals to take ownership, fix quality issues, and build better systems.

The path to building complex systems isn’t starting complex. It’s starting simple, proving value, then earning the right to build something bigger.

One of the most common questions businesses ask is: How can we improve our efficiency?

There’s a long-standing view that data is an asset. It’s an attractive idea, but there is a problem.

The purpose of data management is to make data usable. If data is collected, stored and secured, but never used, it’s not an asset, it’s a liability!

Every day, your organization creates thousands of data points. But here’s what executives often miss: data isn’t created by systems—it’s created by people through their daily work. Data is created when people interact with your organisation. Understanding this fundamental truth is the difference between transformation success and failure.

In today’s digital landscape, organisations continue to invest tens of millions of dollars in digital transformation initiatives, yet many still fail to deliver expected value. Large scale technology projects and programs of work absorb enormous amounts of time, money, effort and hours of work. Promised efficiency gains are rarely realised, leaving people, teams and organisations no better off than before.

The Data Management Association (DAMA – see dama.org) Certified Data Management Professional Program (CDMP – see cdmp.info) is regarded as one of the most valuable certifications available in the market today. The CDMP certification provides foundational skills along with the confidence to apply global best practices. It is a critical success factor in improving data management and data governance within organisations.

Management consultancy firm Robinson Ryan, through its training arm, the Institute for Data Management, is proud to announce the launch of its new micro-credential system designed to empower and upskill data professionals at every level.

All organisations want to manage their data effectively to keep it secure, productive, and useful for decision-making and insights. They aim for their data management staff to be skilled and confident in their role to ensure data is leveraged for better outcomes and reduced risks to the organisation.

Data management professionals are under ever-increasing pressure in 2024 to justify data business cases and demonstrate business value. This pressure will only grow as attention shifts to how we can create real value at the intersection of AI, technology, analytics, and data.

In today’s business landscape, the true power of data is coming into sharp focus. As organisations navigate an ever-expanding sea of information, one crucial realisation is emerging: data alone does not generate value. Rather, it’s the expertise in managing that data which transforms it into a valuable asset. This heralds a renaissance where skilled data-savvy professionals have become the real game-changers.

In today’s fast-paced and ever-evolving job market, standing out from the crowd has never been more important to your career progression. As a CDMP master with 30 years of experience, somethings remain constant – businesses will always seek top talent, and data professionals who can demonstrate proven skills and competencies rise to the top of the pile.