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Bundling data collection and data organization will ruin everything you love.
Everyone knows the importance of a data-driven decision making in business and it’s increasing in popularity every year. However, what tends to get lost in that obsession is whether or not the underlying data is trustworthy.

It’s easy to say that inaccurate data leads to business problems. But what’s even worse is when a company runs on data that appears trustworthy, when in reality it’s flawed in ways that significantly impact critical decisions. I know the title is a tad dramatic, but people pour countless hours into trying to make their business successful, and nothing is more painful than realizing it was doomed from the start. That’s why we need eradicate the dangerous tendency of data providers to bundle data collection and data organization.

Data collection and organization are often treated as two sides of the same coin, yet many companies don’t realize that blending them leads to incorrectly or ambiguously labeled metrics. Since the separation of these processes is not yet common practice, the unfortunate reality is that most businesses, even those that identify as data-driven, are putting themselves at an irreversible disadvantage without realizing it — and destroying what they’re working so hard to accomplish.

Separating data collection and organization ensures that your company can obtain a clear, trustworthy picture of its data. It’s the best way to mitigate risk and optimize decision making.