That analogy only skims the surface, focusing on the need for processing to extract value. Yet, I propose a more elemental comparison: Data is like water.
Why water? Because its value can be immediate and profound in its natural state, akin to a mountain spring’s refreshing clarity or the healing warmth of a hot spring. Data, in its purest form, can drive insights and decisions without extensive manipulation. Yet, like water, data must be ‘fit for purpose.’
Rainwater, perfect for washing cars or as a resource in our homes, may not suit medical procedures or consumption without treatment. Similarly, data’s utility is context-dependent. It requires stewardship to ensure its quality and relevance.
This is where governance comes in. Just as we rely on regulations to ensure our water’s safety and purity, data governance frameworks are essential. They are the treatment plants of our data ecosystems, where data owners and internal audit teams play pivotal roles in maintaining quality and trustworthiness.
Let’s shift our perspective from drilling for oil to nurturing a more sustainable and essential resource. Water flows, adapts, and sustains. So should our approach to data.