Join the Journey: Why I'm Writing This Series

Let us get straight to the point. We are constantly told that data is the new oil and AI is revolutionising everything. It sounds great, like flipping a switch and suddenly having a smarter, faster, better business. But let us be real: it is rarely that simple. While data and AI are becoming as fundamental as electricity, translating that potential into real-world business value is where most organisations hit a wall.

My name is Erlon Rachi. For over two decades, I have been deeply involved in data transformations across various industries and three continents. I have seen the promise, but I have also seen the pitfalls firsthand. Remember that sobering statistic? Something like 87% of data science projects never reach production. Why? Because success is not just about technology; it is about strategy, culture, and execution. It is about moving beyond simple reports to genuinely embedding data insights into the fabric of your business.

That is why I am kicking off this series of articles. My goal is to share practical, on-the-ground insights, lessons learned from years in the trenches, to help you, your teams, and your companies navigate this complex landscape.

What I Plan to Write About

The Data and its Supporting Infrastructure Challenge. “More is not always better.” We are swimming in data, and the pool deck is not for free, nor was it built by nature. Collect, transform, store, retrieve, identify possible value in that data, verify that value. These are not only computationally intense operations but also costly ones. The pool and the water in it has a purpose, and we must understand it. Are we hosting the Olympic swimming competition or a pool party?

Data Governance. Finding beauty in the chaos. It is not red tape; it is the framework that ensures your data is accurate, consistent, secure, and ethically handled. Who owns the data? Who can use it? How is quality maintained? Good governance builds trust: trust in your insights, trust from your customers, and trust that you are complying with regulations. In the age of data and AI, trust is gold.

Technology Follows Culture. A conviction I hold strongly. You can invest heavily in platforms and explore castles on the clouds, but if your organisation does not embrace data literacy, foster collaboration, and empower data-informed decisions, you will hit a ceiling.

Cultural Change and the Role of Leadership. Not only changing minds on the field and in our stakeholders’ departments, but also in the technology and data areas. Shifting from simply reporting what happened to using data to understand why, predict what is next, and make the most educated decisions about what to do.

The Burning Business Question. The specific problem you are trying to solve. Without identifying it, data efforts often become costly exercises in exploration with no clear destination.

The Meta Topics. Acknowledging how little data areas use KPIs themselves, how to use models internally, self-improvements, and scaling up our own impacts. The pitfalls regarding training and onboarding, the relentless and rewarding stakeholder management process, and the link between strategic thinking and budget planning and execution.

Join the Journey

Transforming into a truly data-driven organisation is a journey, not a single project. It requires a blend of strategic vision, technical know-how, cultural change, and unwavering focus on delivering measurable value.

My passion lies in helping organisations navigate this journey. Through this series, I will share practical frameworks, real-world examples, and lessons learned on topics ranging from governance and team building to ethical AI and specific implementation strategies.

The future belongs to organisations that can intelligently harness their data. It is about building not just smarter systems, but smarter, more adaptive, and more trusted businesses.

Let us explore how to move beyond the buzzwords and turn your data potential into a powerful, sustainable strategic advantage.