In the world of data-driven decision making, we often fall into a trap that I call the “measurement paradox.” It’s a sneaky cognitive bias that leads us to focus on what’s easily measurable, rather than what’s truly important. Let me illustrate with a simple example.
Read MoreAt first glance, asking “why” seems like the simplest thing in the world. It's often one of the first words children learn; we associate it with curiosity and learning. In professional settings, we're often encouraged to “ask why” to get to the root of problems or to uncover deeper insights. But as with many seemingly simple concepts, the act of asking “why” effectively is far more complex than it appears.
Read MoreIt can be challenging when stakeholders cannot translate business questions into technical requirements or do not provide enough context for data teams to do so. From there, the data team is often left to maintain the status of a series of ad hoc projects rather than connect these business questions to a larger more defined data strategy.
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