Obviously size matters, but ultimately the value of information is determined by how we use it. Merely accumulating data without a concrete strategy and objective overwhelms servers, and more importantly users, without having a demonstrable impact on business results. What do we really get out of the data lake that has taken us so much time, effort and money to build? Some industry professionals say ‘we have everything’. Okay… but how much of this ‘everything’ is actually operational and available to improve business efficiency?
That’s why we have to be smart, which means deciding what information we want to use, and what we can leverage to make our businesses grow and achieve our objectives. Being smart starts with knowing what we’re looking for, or at least identifying the areas that can act as potential drivers of business and strategy. We can then adapt our technical solutions according to these objectives, instead of the other way around. This requires knowing how to bridge the gap between business and technical aspects. It’s an art that combines very different professionals, but when orchestrated and executed well, it enables data to become smart – and therefore more effective.