Beyond the Dashboard: The Unseen Craft of Business Intelligence

In an era saturated with data, the true craft of business intelligence often remains obscured by the glossy veneer of 'pretty dashboards.' Gbolahan Adebayo, a Senior Data Analyst at Sanlam Fintech in Johannesburg, South Africa, offers a grounded perspective that strips away this superficiality, revealing the rigorous, often 'annoyingly basic,' work that underpins genuine insight.

Adebayo's professional trajectory is marked by significant contributions to analytics infrastructure for diverse entities including MAGNiTT, Aspire, and Subway, spanning Nigeria, South Africa, the United Arab Emirates, Singapore, and the United States. His approach is less about aesthetic display and more about foundational detective work, famously stating that dashboard building constitutes a mere 'last 20%' of his job. The lion's share, the remaining 80%, is dedicated to 'detective work and translation of business questions,' a process that involves relentless questioning and the tedious, yet critical, task of data cleaning.

This perspective has profound implications. First, it redefines the value proposition of data analysis, shifting focus from mere reporting to strategic problem-solving. Adebayo illustrates this with a compelling analogy: assisting a roadside jollof rice and puff-puff seller to move from guesswork to informed decision-making. By quietly 'remembering everything for her' – sales volumes, rush hours, weather impacts – he crafts a 'small board' that plainly advises, 'Friday is busy, cook more rice.' This demonstrates how robust data analysis mitigates waste and optimizes operations, irrespective of business scale.

Secondly, the emphasis on asking 'annoyingly basic questions,' such as 'if this number moved, what would you actually do?', highlights the critical link between data output and actionable strategy. True insight isn't just about identifying trends; it’s about understanding their practical consequences and guiding tangible responses. Furthermore, Adebayo’s assertion that 'a good part of the job is just saying no' underscores the analyst's role as a strategic curator, discerning what data genuinely merits attention amidst noise, and rejecting extraneous requests.

For aspiring analysts, Adebayo demystifies the path, recommending foundational tools like SQL as the 'actual workhorse' and Tableau's free public version for visualisation. Crucially, he advocates leveraging AI tools as 'fastest tutors' for learning concepts and resolving queries, thereby accelerating understanding. His advice to 'go and build something real' and 'put it where people can see it' without waiting for perfect readiness speaks to the practical, results-oriented nature of the field. This democratizes access to learning, yet places the onus on practical application.

In a Kenyan and broader African context, where informal economies thrive and formal sectors increasingly seek efficiency, the principles articulated by Adebayo are particularly pertinent. From large fintech operations like Sanlam to burgeoning startups and even local service providers, the ability to transform raw operational data into clear, actionable intelligence represents a significant competitive advantage. It's about moving past intuition to evidence-based strategy, a shift that promises not just efficiency, but resilience and sustained growth.

Ultimately, Adebayo’s insights remind us that the real power of data analysis lies not in its presentation, but in its meticulous deconstruction, strategic filtering, and the unglamorous groundwork that ensures numbers don't just 'move,' but truly inform and empower smarter decisions.