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calculations, and validity of data sources rather than discussing what action
to take based on the results.
A culture is also defined by acceptable and unacceptable behaviors. A data
fluent culture brings well-understood key metrics into meetings; knows exactly
how to measure the performance of a new project or product; and includes
data fluency skills in the hiring and employee evaluation processes. This
same culture does not accept willful data ignorance and rejects impassioned
anecdotal evidence as the sole input into decisions. Chapter 6 outlines key
strategies for developing a data fluent culture.
ELEMENT 4: THE DATA PRODuCT ECOSYSTEM
The previous three elements in the framework focus on people and behav-
iors. To enable the flow of information and the creation and sharing of data
products, there must be processes, tools, and standards in place. Consider the
ecosystem that Apple has created for iPhone and iPad applications. Apple cre-
ated a system in which high-quality applications can be designed, developed,
tested, marketed, and sold. There are mechanisms for user feedback, processes
for checking application quality and conformity to Apple's standards, and a
well-understood way for consumers to find the apps that suit their needs.
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