Previously: In Part 1, we established that most large data initiatives fail not because of bad technology, but because of a flawed ownership model. Centralized Data Warehouses create IT bottlenecks. Data Mesh implementations collapse under engineering complexity. This...
A note on perspective: This is part one of a five-part series. By Part 3, I make a specific case for Qlik Cloud Analytics as the platform that makes the argument practical and executable. I work with Qlik. That context is worth knowing upfront, because the argument...
The technology is ready – now it’s time to harvest the fruits. Key Takeaways from #Harvest event 9 October 2024 Generative AI (GenAI), and artificial intelligence (AI) in general, is no longer a promise of the future; it’s the reality of today. During the Harvest...
In the ever-evolving landscape of modern business, data and AI literacy are becoming essential skills, a bit like mastering a global language. As we move towards more data-driven decision-making and AI integration, understanding how to effectively navigate this...
In the era of big data, organisations are drowning in data and information. Yet, despite having cutting-edge technologies and high-quality data available (ideally, even if in practice one of those areas of work in progress…), many struggle to transform this...
Let’s chat about that wonderful place where business strategy and data insight converge. Picture this: a business leader, with a sprinkle of data curiosity, and a data wizzard, with a dash of business intuition, come together. They stand in front of a whiteboard,...