Part 3/14:
The Challenge of Data Overload
Given such staggering volumes, Jennifer pointed out a significant problem faced by data scientists: they spend 60-80% of their time simply searching for and understanding data. This inefficiency hampers productivity and delays decision-making. In organizations like Walmart, this manifests as questions about data inventory, accuracy, definitions, and accessibility—often causing frustration and bottlenecks. For example, questions such as "What data do we have?" or "Is the data accurate?" are everyday hurdles that hinder operational agility.