Database Reference
In-Depth Information
From this definition, there is a clear gap between data products and general-
purpose tools for business intelligence, statistics, analysis, or visualization.
These analytical tools may be used to create data products, but they are not
themselves focused, purpose-built products.
Data products come in many varieties—both in form and function. In some
cases, data products emphasize the ability for users to explore the data inde-
pendently. Others lean toward guided storytelling, a vision driven by the
author more than the audience. Along another dimension, there are a set of
data products that offer varying degrees in which the author can enhance
the data through analysis, introspection, and features. Figure 7-1 shows how
different types of data products can be mapped by these characteristics.
Analysis Tools
Data Storytelling
Interactive data
visualization
Data-rich
presentation
Simulation
tool
Data-rich
written analysis
Analytical
application
Interactive
Dashboard
Infographic
exploratory (audience-centric)
directed (author-centric)
KPIs
Ad hoc
reporting tool
Canned
report
Static
Dashboard
Data
extract
Summary
performance
Data Access
Performance Reporting
Figur e 7-1
Data products classified by level of enhancement and audience vs. author control
NECESSARy CONDITIONS
Sun and water and soil make the flowers grow. What will make your data
products flourish? This chapter is an exploration of the conditions that, taken
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