Booster Analytics
Agentic AI & Data Consulting for Bold Organizations
recent posts
- Leading Through the Shift: How a Technical Manager Can Manage AI Team Members
- The Agentic AI Strategy: From Vision to Value
- Transforming Retail Operations: A GenAI Management Framework for Business Unit Leaders
- When Every Business Unit Builds Its Tech: Why Lack of Strategy Turns AI Into a Mess
- Guardrails for Generative AI: Why a CTO Must Go Beyond PDPA to Protect Both Consumers and the Company
Category: Analytics
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As a CTO, I’ve seen too many organizations in Asia, Australia, and Uk fall into the trap of believing that data is some magical oracle. Just collect enough of it, and answers will appear like a genie from a lamp. Spoiler alert: That’s not how it works. Data is not a crystal ball; it’s a…
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As a CTO, I know firsthand that managing modern data systems goes far beyond technology. It’s not just about servers, platforms, or algorithms; it’s about aligning strategy with execution while building a resilient, high-performing team. In my experience, success comes down to applying core management principles to navigate the complexities of data-driven operations. Here are…
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This article is inspired by the ARC Training Center for Information Resilience, Australia where my supervisor is currently the director. As a CTO and associate professor, I constantly advocate for better data practices and systems that can weather whatever challenges come our way. Unfortunately, many organizations across Asia aren’t paying attention to one of the…
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To truly leverage a dedicated analytics infrastructure, I believe it’s essential to have a well-structured and capable data team in place. In my experience, building this team is just as crucial as laying the technical groundwork. A strong data team drives insights, manages the infrastructure, and ensures the institution reaps the full benefits of its…
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When a higher education institution wants to add analytics capabilities, I know it can be tempting to repurpose the existing IT infrastructure. After all, the systems are already up and running, supporting a range of operations. But in my experience, building a dedicated analytics infrastructure delivers far more benefits — whether we’re talking about performance, scalability, or…
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I’ve been seeing a trend lately, specifically in Asia, and I think it’s time we call it what it is: the whole “AI first strategy” that many companies are jumping on is not really a strategy. In fact, it’s just lazy management hiding behind shiny tech. I know it’s controversial, but hear my take on…
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This article is written for my students who are moving up the technical management ladder. Big is not always beautiful. As a CTO, it’s often assumed that scaling up is the only direction a company should go, particularly in the data team. However, there are scenarios where scaling down the data team becomes not only…
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As a PhD supervisor and technical manager in data analytics, I’ve spent years navigating the intersection of technology, data, and human behavior. One painful truth I’ve come to realize is that, in the modern world of business, data often trumps culture. This fact is difficult to ignore as companies increasingly shift toward data-driven decision-making. However,…
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As a seasoned practitioner in data science and analytics, I’ve found that applying the principles of software development to data product development is crucial. Many data projects fail due to unclear objectives, poor management, or misalignment between the stakeholders. However, leveraging the structured approach of the Software Development Lifecycle (SDLC) can guide data product teams…
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The volume of information in the rapidly evolving field of sustainable finance can be daunting. To navigate this vast landscape, PhD students must not only know where to search but also how to evaluate and filter relevant information efficiently. This guide will help you refine your research strategies with specific examples and tips tailored to…
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