DnA of Decision Making

From data to decisions — now executed by AI

Mau

  • Use Cases in Data Strategy

    Use Cases in Data Strategy

    Why “Use Cases” Are the Most Vital Element of a Data Strategy Most data strategies don’t fail because of technology. They fail because they’re abstract. Organisations invest heavily in platforms, architectures, and governance frameworks—yet still struggle to realise value. Dashboards go unused. AI pilots stall. Executive confidence in data remains fragile. The missing link is…

  • How do you know when your data strategy framework you are using is no longer working? How do you go about changing it?

    How do you know when your data strategy framework you are using is no longer working? How do you go about changing it?

    A clear signal that a strategy framework is no longer working is when there’s noticeable misalignment with the organisation’s overarching business strategy. When data initiatives fail to support or adapt to shifting strategic priorities—such as changes in service delivery models, regulatory obligations, or institutional goals—the framework becomes ineffective. You’ll also see signs like poor stakeholder…

  • Navigating the Changing Landscape of Data Privacy Regulations

    In today’s data-driven economy, privacy is no longer a compliance checkbox—it’s a strategic imperative. As data collection, sharing, and processing practices grow more complex, so too do the regulatory frameworks governing them. From the GDPR in Europe to Australia’s evolving Privacy Act and the emergence of AI-specific legislation globally, organizations are facing a fast-changing—and often…

  • AI & Advanced Analytics: Unlocking the Future of Data-Driven Decision Making

    Artificial Intelligence (AI) and Advanced Analytics are revolutionizing the way businesses, governments, and organisations harness data to drive strategic decision-making. As data continues to grow in volume, velocity, and variety, the fusion of AI and advanced analytics is enabling more sophisticated, real-time insights that empower leaders to make informed decisions with precision. The Role of…

  • The Role of a CDO in Shaping a Data-Driven Culture

    In today’s digital economy, organizations that successfully leverage data are the ones that stay ahead of the competition. However, becoming truly data-driven requires more than just investing in technology—it requires a cultural shift. As the Chief Data Officer (CDO) or Head of Data and Analytics, fostering this transformation is one of your most critical responsibilities.…

  • Creating a Data and Analytics Strategy: A Roadmap for Success

    In today’s digital economy, data is one of the most valuable assets an organization can leverage. However, simply having vast amounts of data is not enough—organizations need a structured approach to harness its full potential. A well-defined data and analytics strategy provides the foundation for data-driven decision-making, improved efficiency, and competitive advantage. Why a Data…

  • Modernizing Your Data and Analytics Platform: Unleashing the Power of Data-driven Insights

    In today’s rapidly evolving business landscape, data has emerged as a critical asset that holds the key to unlocking valuable insights and driving informed decision-making. Organizations are increasingly recognizing the need to modernize their data and analytics platforms to harness the full potential of data. In this blog post, we will explore the significance of…

  • The Power of a Data Governance Framework: Building a Robust Data Ecosystem

    Introduction In today’s ever-evolving digital landscape, the sheer amount of data being generated and collected is staggering. Every organization, regardless of its size or nature, has become data-centric. From customer information to financial records, organizations are relying on data to make informed decisions and gain a competitive edge. With such data-driven dependence, it is imperative…

  • Turning the promise of AI into a reality for everyone and every industry

    Artificial intelligence (AI) has come a long way in the past few years. But for AI to truly fulfill its promise, it needs to do one more thing. It needs to be easy to use. This is just as important as all the computational and technical components that make AI happen in the first place.…

  • Improving business performance through data literacy — Dataliciously Ella

    At the beginning of December 2021 I had the pleasure of co-hosting a webinar about data literacy with a few of my data friends Steve Adams, Steve Prokopiou and Neil Richards. Steve A and Steve P approached me back in August 2021 about putting together a webinar and I jumped at the chance to work […]…