Hello. I’ve noticed that many organizations I’ve worked with collect tons of data but don’t always seem to know how to use it effectively. Sometimes the data sources overlap, or the numbers don’t match, which creates a lot of confusion. How do you think companies should handle this, and what practical steps can be taken to make data more reliable?
top of page
bottom of page
Hello. Having mountains of data doesn’t automatically mean you have insights. In fact, the bigger the dataset, the more likely it contains duplicates, outdated records, or conflicting entries. That’s why many experts now argue that the real focus should be on accuracy and governance, not just scale. For example, I came across a fantastic article https://ztec100.com/why-data-quality-beats-database-size-in-2025/ at Ztec100 called Why Data Quality Beats Database Size in 2025. It highlights the importance of validating, structuring, and curating your information before trying to analyze it. I recommend reading it for a deeper analysis and understanding of the issue.