News and articles of note

See this selection of articles covering to most important topics in analytics at the moment.

  • Building a Data Strategy That Drives Real Value: Why Foundations Matter More Than Tools The organisations that create genuine value from data are those that treat strategy seriously. They invest time understanding where they are. They build diverse teams with the right mix of skills and perspectives. They secure genuine executive commitment to data-driven decision-making. And they develop the operational discipline to sustain analytics as a competitive advantage rather than a temporary initiative.
  • Less Juggling, More Judgement: A Framework for managing your pipeline Where the rubber hits the road for Data and AI professionals, is how to cut through the busyness of the everyday to drive clarity on work priorities. Here is a framework for achieving cut-through on pipeline management.
  • Beyond the Numbers: Diversity in Analytics Through a Migrant’s Eyes The future of analytics in Australia will be shaped by people from every corner of the world, each contributing a different insight, a different way of looking at data, and a shared belief in what evidence can achieve.. Analytics is not just about numbers or technology. It is about understanding people. And when people from different backgrounds come together to interpret data, our insights become richer, fairer, and far more meaningful. Diversity does not just make analytics stronger; it makes it human.
  • The Analytics Shift: Moving from Information to Intelligence The future of any viable organisation rests on its ability to see beyond the surface of its operations and into the predictive power of its data. Analytics provides the clarity required to solve customer problems at scale, optimise complex operations, and secure sustained investment from all stakeholders. It is the language of justification, the blueprint for operational efficiency, and the ultimate measure of organisational value in the digital age. Those who master the translation of data into wisdom will not just survive the current pace of change - they will fundamentally define the next era of business success.
  • Human Analyst vs. AI Analyst An honest, hands-on comparison of Tableau Public, Gemini + Colab, Julius AI, and Cursor for a real-world data analysis task.
  • Diversity and Analytics: Unlocking Deeper Patterns Diversity is no longer a corporate ideal; it is both a moral imperative and a performance enabler in analytics. In a world increasingly defined by data, the question is no longer whether we need diversity, but how consciously we embed it into every stage of insight generation.
  • Bridging the gap: Engaging the C-suite to position analytics as a value driver Analytics has the potential to be a strategic enabler – but realising the value of a data driven business requires engaging the C-suite and finance leaders to connect analytical insights with business outcomes.
  • What Great Analytics Talent Looks Like in the Age of AI The analytics job market is transforming faster than ever. AI can now code, visualise data, and summarise insights - yet finding truly impactful analytics professionals has never been harder. This article is written for hiring managers, who want to identify great analytics talent in this new era, as well as for data professionals and job seekers who want to understand what skills matter most for the future. The takeaway is clear: while automation handles more technical tasks, human centric, strategic, and interpretive skills are becoming the true differentiators.
  • Co-Intelligence: The Next Frontier of Ethical AI Governance AI is no longer just a tool we program. It is becoming an intelligent collaborator that helps co create ideas, improve business decisions, and transform how organisations learn and act. We are entering the era of co-intelligence, where human insight and machine intelligence intersect. This evolution raises a new governance challenge. The question is no longer “Can AI do this?” but “Should it, and who decides?”
  • Accelerating Analytics Adoption With Cognitive Load Aware Communication Adoption lags when cognitive load is high. Use signposting and a point first communication style to cut noise, manage inherent complexity, and accelerate analytics adoption.
  • Without Great Leadership – We are wasting the Diversity in Analytics Teams Analytic teams which are made of people from different backgrounds, genders, ethnicity, training, experiences and ways of thinking bring different perspectives to problems, and projects result in better outcomes, primarily through challenging bias and groupthink.
  • Proving ROI in the Generative-AI Era: A Guide for Analytics Leaders Artificial intelligence and analytics is no longer a distant aspiration - it is a practical force reshaping every corner of business. Gartner recently counted 196 enterprise-grade conversational-AI platforms alone; factor in agents, optimisation, and predictive-analytics tools across every domain, and we are talking about thousands of solutions jostling for executive attention and market share.