One of the significant problems data quality leaders face is changing people's perception of data quality. For example, one common misconception is that data quality represents just another data processing activity. If you have a data warehouse, you will almost certainly have some form of data processing in the form
“Here’s Johnny!!!” and well sometimes John and sometimes Jonathan and sometimes Jon. In the real world, you sometimes need to make matching character strings more flexible. This is especially common when merging data sets. Variables, especially names, are not always exactly the same in all sources of your data. When
The Internet of Things is going to be driven by innovative business models as much as by innovative technology. In order to ground the following discussion, I found it helpful to create this visual depiction of the IoT that defines and distinguishes the key elements that enter into these business models.
