The document provides guidance on effective data storytelling. It recommends that data stories have constrained interaction at checkpoints within a narrative to allow exploration without straying from the intended story. A purely linear or purely open approach is not optimal. The document also outlines key components of an effective story like protagonists and plots, and emphasizes sketching the story structure, testing ideas, and improving readability through labeling, repetition and making information relatable.

1. Why do we need storytelling?
CHAIR
 Language
 Visual
COFFEE
 Language
 Visual
 Smell

2. Why do we need storytelling?

3. Protagonist
The main character
Problem
A difficult goal for the
protagonist
Plot
How the story
unfolds?
Transformation
The “so what?”: solution
for the problem
Key Components
of a story

4. • Data stories appear to be most effective when they have constrained
interaction at various checkpoints with a narrative, allowing the user to
explore data without veneering too far from the intended narrative.
• A purely author driven approach has a strict linear path through the
visualization, relies heavily on messaging and includes no interactivity.
• A purely reader driven approach has no prescribed ordering of images, no
messaging a and a high degree of interactivity.
How does data driven storytelling improvise understanding ?

5. Sketch your story before you present……..
• Very important to jot down your ideas.. Break it down on pen & paper
• Which chart to be used ?
• What kind of text is on the page ?
• What kind of labeling is needed ?
• How will COLOUR be used?
• Organize the story structure and its flow
• Test your ideas every step of the way.
• Confirm that story structure and data points communicate your story
• Fail, adjust and fail again until something works
• At every step flaws are revealed until nirvana is achieved.

6. 4x4 Model for Knowledge content
• Quick Snippets
• Succinct, Direct & Compelling
The Water Cooler
• A longer conversation
• Some length but not a deep study
The Cafe
• Research & Data
The Research Library
• Interaction with Data
The Lab

7. Story Mechanisms
• Change Over time
• Linear Logic
• Flow Diagram
• Compare & Contrasting
• Progressive Depth- (Martini Glass Structure)
• Personalization- Including personalized element in the dashboard so that listener can
better corelate to situation- Convert your story to his story.
• Text- Data Story conveyed in majority using text with concluding policies/decisions.

8. Final Touches- How readability is improved ?
• Labeling
• Explains your data, highlight what is important and conveys your story
• Eye Candy
• Keep visually fresh
• Notice important stuff
• Alert to functionality
• Repetition & Redundancy
• Message, data & Visual Cue
• Relatability
• Numbers are understandable, relatable & communicate the impact of the numbers
• Don’t be afraid of Complexity
• Have empathy for your audience
• Focus message, visuals & graphics
• Make the elements as simple as possible

9. Kya kar rahe ho? –
• Budget slide with interest expense going up
2022-23 B
Average
Borrowing
Rate Interest Cost
INTEREST CHARGES
Working Capital - UAE TR 200 xx% 25.00
Long Term
HSBC - ECA (Dematic) 280 xx% 10.10
Mashreq - O'Mega DC 120 xx% 4.98
Territories
KSA 140 xx% 6.51
Kuwait 60 xx% 2.71
Oman 120 xx% 4.57
Qatar 70 xx% 3.40
Bahrain 0 0.00
Egypt 70 xx% 10.69
UAE 150 xx% 5.00
Total Interest Charges 1210 0.00% 72.96
FINANCE CHARGES
Commitment & Upfront Fees xx
Bank Charges xx
Interco recovery for Long Term Borrowings xx
Total Finance Charges 0.00
TOTAL INTEREST AND FINANCE CHARGES 55.00

10. Kya karoge? –
• Data driven story in summarized version with a convincing facts
• Do we have exact explanations conveying change in interest rates?
• Does change in Benchmark rates have impact on WACC?
• Interest rates have moved everywhere.. but is it same proportions?

11. From Linkedin Learning site
for further reference
SCREENSHOTS

15. Change Over time