Oil is characterized by the modern economy's collective ability to generate value from it. On the other hand, data is defined by our collective inability to monetize it.
While this is a fairly new development for oil, data has been in "super contango" for years. The value of data perpetually seems to be higher at some point in the future while most companies extract little value from it today.The data 'super contango' Second, on the demand side - Data quality and reliability. Without reliable data, businesses cannot drive analytics and business intelligence from data lakes. This is a critical problem. The foundation for successful deployment of AI is in the data. Without quality data, organizations cannot consume it for business purposes. Analytics fail. Predictive models don't work. Simply put, for most corporations, Data lakes have become more of a hindrance than an enabler of business.
Today, the near infinite capacity to store data can be met with massive cloud-computing power and open-source technologies such as Organizations that leverage a unified approach to their data with modern cloud-native tools attract and retain coveted data scientists. In addition, they can also broaden the population of employees that can perform valuable data analysis by reducing menial tasks and enabling
Don’t be overwhelmed by how much you think you have to do. You are already doing so much and have done many great things. Breathe for a moment and acknowledge yourself. Look at all that you’ve accomplished and how far you’ve come. Take it easy on yourself.”
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