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Companies are spending more than ever on data analytics and AI-led initiatives. They buy the tools, hire the people, and expect results to follow. But for many, that return on investment remains frustratingly out of reach. The challenge is not the volume of data or the quality of technology. It is not about how much […]

Every company wants to use data to drive better decisions, improve operations, and gain a competitive edge. But the real challenge isn’t access to data – it’s the culture around it. Many companies assume that better tools will solve their data challenges. They invest in analytics platforms, AI-powered dashboards, and expensive data teams. Yet, they

In many companies, data and analytics projects start with big expectations but often fail to deliver measurable value. Leaders invest in AI-driven initiatives, predictive models, and analytics platforms – only to hear their CFO ask, “Where is the return on investment?” The problem? Most businesses focus on generating insights but don’t close the loop to

Data is everywhere. It fuels decisions, shapes strategies, and gives businesses a competitive edge. But here’s the real issue – having access to data isn’t enough. The real differentiator is confidence in using it. Many leaders hesitate when working with data. They trust their instincts but second-guess decisions backed by data. That hesitation is a

Data leaders often walk into meetings with executives, confident that their proposed initiative—whether it’s improving customer data, upgrading a platform, or implementing better governance—will get the green light. But then, they get hit with the inevitable question from the CFO:  “What value will this actually generate?” And that’s where things start to fall apart. The

Data is a powerful resource. But extracting its value requires more than access—it needs strategy and structure. Businesses that excel in data monetisation or data products achieve success by following proven frameworks. The IFMAPI framework, outlined in Drive RAPPID Results from Data, offers a clear path to identify, evaluate, and optimise data initiatives. Let’s explore

Data is a powerful asset, but its real value comes from how effectively organisations use it to drive measurable outcomes. Transforming raw data into impactful results doesn’t happen by chance. Businesses progress through distinct stages to mature their data analytics capabilities and achieve strategic success.  Let’s examine these stages—Primitive, Transitional, Strategic, and Game-changing—and explore key

The business environment is data-rich, organisations are collecting vast amounts of information daily. But simply amassing data is not enough – it’s the health of that data that determines whether it delivers value. Unhealthy data can lead to poor decisions, inefficiencies, and missed opportunities. The question then becomes: how do you ensure your data is