Topic 4

Lesson 4. Data Visualization and Modern BI Systems. Principles of Dashboarding and Visual Storytelling (Data Storytelling). Overview of Power BI and Google Looker Studio Platforms

Objective: formation of students of a holistic system of knowledge, analytical abilities and practical skills in the field of designing analytical dashboards, applying visual storytelling methods (Data Storytelling) and using modern BI platforms to support management decision-making. The student must master the cognitive and psychological principles of visual perception (attentional attributes, principles of Gestalt psychology), distinguish between exploratory and explanatory visualization, and also comprehend the three-component structure of Data Storytelling (data, visual forms, narrative). During the training, special attention is paid to mastering the methodology and spatial architecture of dashboarding - classification of panels by management levels (strategic, tactical, operational), application of F- and Z-patterns of layout, ensuring a high Data-to-Ink Ratio and compliance with color hygiene. Students should learn to analyze, compare, and select BI tools for specific tasks (distinguishing between the full-featured corporate Microsoft Power BI ecosystem with Power Query, VertiPaq, DAX, and flexible RLS security from the Google Looker Studio cloud-based express reporting service). An important practical and assessment outcome is the ability to identify and eliminate graphic distortions, visual garbage (Chartjunk, 3D effects, truncated Y-axes, misuse of pie charts and dual axes), as well as to eliminate cognitive distortions of perception (Confirmation Bias, Cherry Picking, Base Rate Fallacy, Framing Effect) to create objective, interactive, and ergonomic analytical solutions.