In our previous post Bust your top 3 worst data quality habits we discussed the dirtiest data quality habits and how to bust them. All of those errors lead to the need for a clean process to be put in place. But even those are often flawed! Ack! How do you get this right? Gartner analyst Lyn Robinson puts it nicely “A business that can’t produce useful information is like an airplane that can’t fly. How useful is that?”
In this blog post, we summarize our IBM and TechTarget article “Data Quality Process Needs All Hands on Deck” to pick out and fix the top 3 worst data quality process errors. You can break the habits, but can you maintain the process?