Boards are approving AI budgets. Vendors are promising step-change productivity. And yet—quietly—many organisations are discovering the hard truth: the technology isn’t the constraint. The constraint is the data underneath it. Gartner puts a number on what many leaders feel but struggle to quantify: poor data quality costs organisations around US$12.9 million per year on average. IBM research is equally sobering—more than a quarter of organisations estimate they lose over US$

In a world where data is everywhere, businesses can easily feel overwhelmed. Every customer interaction, operational update, and market shift creates more information to sift through. But the real value isn’t in collecting data—it’s in turning it into clear insights that help people make better decisions. That’s where a strong data strategy comes in. When organizations treat data like a real business asset, they can spot opportunities faster, improve customer experiences, and