Data, once considered a mere byproduct of business operations, has now become a significant driver of innovation, productivity, and success in the modern business landscape. Data-driven organizations, according to McKinsey, can increase their EBITDA by up to 25%, and the majority of the top 10 innovative companies in the world are data-driven firms. This compelling statistic has led to a situation where 83% of CEOs want a data-driven organization, 87% of CXOs prioritize becoming an intelligent enterprise, and 74% require data in decision-making.
However, becoming data-driven is not without its challenges. Only 8% of organisations successfully scale analytics to extract value from their data, while spending trillions on data exploitation. Just 24% of respondents believed their organization was data-driven in the past year, a decline from 37.8% the year before, and only 29.2% reported achieving transformational business outcomes.
These sobering statistics highlight the need for a strong Data Culture within organizations. But what is Data Culture?


