Concepts de base
The author introduces a conceptual model for data storytelling in the domain of Business Intelligence, focusing on automated extraction, representation, and exploitation of highlights to reveal key facts hidden in data.
Résumé
The content presents a detailed conceptual model for data storytelling in Business Intelligence environments. It discusses the importance of structured answers to analytical questions and the automation of insights extraction. The model includes Holistic and Elementary Highlights, emphasizing the identification of internal properties and patterns within datasets. The paper provides examples and practical applications to illustrate the proposed model's effectiveness.
Stats
"Athens is a mega-contributor to total sales: 75% of all sales."
"May 2023 dominates all other months in terms of total sales."
"No trend or seasonality detected in marginal sales per month."
"Pythia tool profiles columns for descriptive stats, histograms, correlations, decision trees, outliers, and dominance patterns."
Citations
"Always show the data." - E.Tufte
"Data narration is presenting findings derived from underlying data." - Authors