From Data to Decisions

Now comes the part where most organisations make their final and most costly mistake. They take everything they have learned and immediately start building. A dashboard here. A new tool there. An AI pilot someone read about in a newsletter. Activity without direction. Solutions without a clear sense of what problem they are actually solving — or for whom. Part III is about avoiding that mistake. It covers two things: deciding what is genuinely worth building, and being clea

In Part I, we talked about two things every organisation needs before data can work: a clear understanding of how the business creates value and a clear understanding of what to measure to know if that value is being delivered.

Step One: Understanding Your Business This sounds obvious. Most leaders will tell you they understand their business. But understanding a business well enough to build a data strategy around it requires a specific kind of honesty, one that describes how things actually work today, not how you wish they worked or how they looked on the last strategy slide. The starting point is a simple question: how does your organisation create, deliver, and capture value right now?

In our latest blog, I break down the 6 key steps to mining your data like gold—from discovery and collection to modelling and visualisation.

At Petgrave.io, our story is built on the foundations of inclusivity, innovation, and sustainability.

A Power BI data visualisation dashboard that transforms e-commerce data into captivating visuals that transcend the numbers.

This dashboard leverages available data resources from online and offline sales channels to foster retail intelligence.