Big Data Analytics

Data Quality • 419

is that as a manager, we will need to understand the diculties involved

so we can provide meaningful oversight and work with our development

team to provide enough stang to ensure that quality assurance and sys-

tem development can occur concurrently.

As an aside, we nd another issue arises when we combine data sources.

is issue revisits our conversation on bias, and it presents a dilemma.

Imagine we have a data source that we will call Source 1 that has a certain

degree of inaccuracy. Perhaps these data are a purchased data source for our

industry or a broad internal data source. We have another much more accu-

rate but more limited data source, which we will call Source 2, whose data can

partially replace the data of t ...