Day 1 (Preparation and Prerequisites)
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Introduction, agenda and learning objectives
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No story vs. bad story vs. good story
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Visualization classics & effectiveness in conveying the stories and context
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Mental maps
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What do executive decision makers expect?
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Elements of storytelling
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Human psychology : Attention and Persuasion
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Importance of context, preparing the audience & taking them on a journey
Day 2 (Theory and Demos)
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Introduction to Data
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Types of data : Numeric, Character, Binary, Timestamps, Images, Audio and Video
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Introduction to Tidy Data : A powerful concept for enabling business decisions
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Fundamentals of aesthetics (e.g. color theory, shapes, sizes) and geometric elements (e.g. lines, text, spatial highlighting)
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Contextual annotations
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Choosing the right plot for the data at hand: chart examples like histograms, bar-charts etc to alluvial charts, infographics and animations
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Data summaries
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How to build stories powered by data and visualizations?
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Building context sensitive custom visualizations
Day 3 (Case Studies)
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Identifying and improving the quality of data visualizations : Stand-out effect
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Key to achieving the stand out effect : Raw data
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Case Activity: Identifying and presenting financial fraud from the given sample datasets
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Case Activity: Each group will be given a set of charts. Groups have to identify specific improvements in the charts based on the principles discussed in the workshop so far.
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Case Examples: Examples of story bridges along with the do's and don’ts : a simple phone call update, 1-page report, online streaming summary, visual dashboard, exploratory dashboard, interactive explorations, insight to action & executive decision support
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Notes on Facts, Perception and Cognitive biases
Day 4 (Summary and Suggestions)
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Softwares for data storytelling : Point and click software vs. programming software for data visualizations
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Importance of creating a workflow
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How to address ambiguity and uncertainty?
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Revisiting the workshop message
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Mindset and expectations of the stakeholders : Technical vs Business, Short Attention Span vs Long Attention Span
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‘Connecting the dots’ message from Steve Jobs
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Revisiting what executives expect