I've been working as a data scientist for six years, and I keep bumping into the assumption that more data always leads to better decisions. But in practice, I've seen teams paralyzed by dashboards full of metrics nobody actually uses. My take: data science is becoming overrated because it focuses too much on collecting and processing information rather than on asking the right questions first. Without a clear hypothesis, even the cleanest dataset just gives you false confidence. So, do you think the hype around big data has outgrown its real value?