Database Reference
In-Depth Information
Figure 4-2
Building data literacy skills for yourself and within an organization is one of the four
pillars of building a data fluent organization.
By the end of this chapter you should be able to:
Become conscious of everyday data products.
⬛
Develop strategies to overcome common barriers to using data
products.
⬛
Increase your data fluency.
⬛
Dissect and find meaning in data products.
⬛
DATA PRODUCTS
In
Empire,
Andy Warhol captured data from a constant data source and created
a unique data product. Twenty-four times per second, the camera captured
data, an image of the New York skyline. The data source was the skyline from
8 p.m. to 2 a.m. The data product is the film.
Broadly defined,
data
means events that are captured and made available for
analysis. A
data source
is a consistent record of these events. And a
data product
translates this record of events into something that can easily be understood.
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