The Data Roundtable
A community of data management experts
Crowdsourcing data improvement: Part 3
In this blog series, I am exploring if it’s wise to crowdsource data improvement, and if the power of the crowd can enable organizations to incorporate better enterprise data quality practices. In Part 1, I provided a high-level definition of crowdsourcing and explained that while it can be applied to a wide range of projects
Social media numbers: The data quality challenge
.@philsimon on the reliability of social numbers.
The three myths of data quality: Put it in production and leave it alone
Once in a while, people run into an issue with the data that doesn't really need to be fixed right to ensure success of a specific project. So, the data issues are put into production and forgotten. Everyone always says, “We will go back and correct this later.” But that