The digital revolution has truly transformed modern organizations, embedding data and analytics in every business process and customer interaction. Advances in technology enable smart supply chains with predictive analytics, automated logistics for same-day delivery, and AI advisors that reduce medical errors. As this continues, workers in all roles will need new a new skill—data literacy—to collaborate with these systems and each other.

In 2019, global venture capital investment in Fintech totaled at least $33.9 Billion. For years, the incumbent players had been warning the sector that when the next recession hit, or when fintech faced a “real” crisis, that the sector would, at worst, collapse, and, at best, see a whole bevy of fintech players disappear

I’ve been blogging for about a year about the power of misinformation and our obligations as data professionals to combat it. In a March 2021 blog post, titled “The Power of Misinformation,” I outlined some of our biological instincts that make us susceptible to misinformation and how tricksters exploit them.

I don’t think anyone could argue that the last two years have changed the workplace forever. Entire nations have been confined to their homes during months of lockdowns, and the way we conduct business and interact with each other has passed a point of no return.

Asking the right questions of your data and knowing what you are looking to find is a critical component for gaining insights from your data that drive specific actions. Data is not black and white; there is so much you can do with it. Accordingly, two people with the same data can come up with very different insights. This is because so much depends on the specific problem to be solved and the approach you take to solve it.