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a framework for data fluency. The framework, as shown in Figure 1-1, portrays
the skill sets and competencies that you can develop.
The framework specifies two primary categories of skill required to develop
data fluency, namely those required to be an expert consumer of data pre-
sentations as well as the expertise required to be a skilled producer of data
presentations. The development and application of these skills occur at two
levels: the individual and the organizational . The goal is to catalyze the devel-
opment of data fluency associated with all four
quadrants of the framework.
CASE STuDIES: A WINDOW INTO THE
FRAMEWORk FOR DATA FLuENCY
Subsequent chapters of this topic are dedicated
to helping individuals and organizations develop
skill in each quadrant of the Framework for Data
Fluency. This section provides four case studies
to provide an initial window into the framework
and illuminate the type of skills it addresses. For
each struggle or promising practice outlined in
the cases, subsequent chapters provide a set of
actionable guidelines for individual and organi-
zational growth.
FigureĀ 1-1 The Data Fluency Framework
Data Consumers: Fantasy Football
It may not be a stretch to say more Americans have learned about data and
statistics through fantasy football than every college statistics course in the
country. Each week, some 19 million NFL football fans spend their Sundays
meticulously setting team line-ups based on statistical projections, historical
patterns, and analysis of week-to-week variance. The couch potatoes who
once relished on-field hits and in-game strategies now spend an average of
more than eight hours a week diving into the data of the sport.
For the uninitiated, fantasy sports let fans play the role of team owners and
managers by picking players for their own fantasy team and making weekly
roster decisions. As the action plays out each week on the field, fantasy own-
ers collect points against other competitors within their fantasy leagues. To
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