Here, we’re not solely relying on the data, instead, we’re using a combination of data, gut instinct, and past experience and context to come to a decision that we’re happy with. Obviously the big difference is that last word – informed. The way we should be data driven already has an alternative term – data-informed.
(Though we’re not far off.) What should data driven mean? If everyone on the internet made decisions based purely on data, all marketing messages would consist of cats, the Kardashians and emojis. So you can’t just give data all the power when it comes to decision making. As much as we have more and more data available to us, it still doesn’t give us all the answers. While everyone thinks of data as being objective, you should remember that it can still be interpreted in different ways by different people in your team. Maybe you’re not tracking the right data, your data tracking isn’t setup correctly or your data could be out of date. Following the data blindly into the woods has a high chance of walking face first into a tree.įor a start, there are too many potentials that can go wrong with your data. Obviously, this isn’t a feasible way to run your business. Does the data tell you that customers prefer lower prices? Follow the data and drop your prices. Taken literally data-driven here means to use the data at hand to tell you where to turn and what to do. “The adjective data driven means that progress in an activity is compelled by data, rather than by intuition or personal experience.” The problem with the term data driven (and indeed the whole debate) is the definition.
But how much weight should we give data?įor as long as the term ‘data-driven’ has been around, there’s been a debate discussing whether we should be data-informed as opposed to data-driven. Data is a huge asset to us and it would be silly to let that asset go to waste. We talk a lot about being data driven here at neatly, and using the growing amount of data that you have to hand to your advantage.
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