The Data Roundtable
A community of data management experts
Where should data quality happen?
In my previous post I discussed the practice of putting data quality processes as close to data sources as possible. Historically this meant data quality happened during data integration in preparation for loading quality data into an enterprise data warehouse (EDW) or a master data management (MDM) hub. Nowadays, however, there’s a lot of
IoT: How could your company benefit from real data accuracy?
We had just completed a four-week data quality assessment of an inside plant installation. It wasn't looking good. There were huge gaps in the data, particularly when we cross-referenced systems together. In theory, each system was meant to hold identical information of the plant equipment. But when we consolidated the
How will the IoT affect your data management strategy?
.@philsimon says that it's never too early to think about the IoT and data management.