Schmitt E. Big Data: An Art of Decision Making

Wiley-ISTE, 2020. — 277 p. — (Intellectual Technologies Set, Volume 7) — ISBN 978-1-119-77699-4.From Trace to Web Data: An Ontology of the Digital Footprint
The epistemology of the cultural sciences
The footprint in evidential sciences
The log or activity history
The digital footprint as a web log
The intentionality of digital footprints
Data as theoretically-loaded footprints
Toward an Epistemic Continuity Anchored in the Cultural Sciences
Digital technology in the cultural sciences
Field and corpus: two modes of access to reality
Virtual methods, a reconstruction of access to the field
The challenges of the technical revolution of the text
From the web as an object to the web as a corpusThe Status of Computation in Data Sciences
Making data computable
The field of computability
Computational thinking
Computation in the natural sciences
From exploratory analysis to data mining
The institutional and theoretical melting pot of data science
The contribution of artificial intelligenceA Practical Big Data Use Case
Presentation of the case study
Customer experience and coding of feedback
From the representative approach to the “big data” project
Data preparation
Design of the coding plan
The constitution of linguistic resources
Constituting the coding plan
Visibility of the language activity
Storytelling and interpretation of the dataFrom Narratives to Systems: How to Shape and Share Data Analysis
Two epistemic configurations
The genesis of systemsThe Art of Data Visualization
Graphic semiology
Data cartography
Representation as evidence
The visual language of design in system configuration
Materialization and interpretation of recommendations
Knowledge and Decision
Big data, a pragmatic epistemology?
Toward gradual validity of knowledge
Deciding, knowing and measuringConclusion

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