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    • THE AI-FIRST CEO/ CXO
      • Why AI must be CEO-led?
      • GenAI CoE Org Structure
      • CEOs Choose Right AISPs
      • SPs of AI-Powered CEOs
    • Platform Engineering: How
      • How to Win on Platforms?
      • Greenprinting Platforms
      • Platformizing Businesses
      • What's your Platform?
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      • Gesalt's Principles in AI
      • AI-Cloud Change Pilot: U
      • What's your AI story?
      • 5 C's of AI-Data-Cloud
      • Unique AI stories: How to
      • Checklist: AI Narrative
      • AI Storytelling with 5D's
    • 3-Mnt Story Boilerplates
      • AWS: Cloud-AI-Data Pivots
      • Why U must build AI story
      • How to build 3-mnt story
      • AI Boilerplate Example
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      • Declutter AI: Power of 3
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      • Top 5 Data Story Tools
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    • Why AI must be CEO-led?
    • GenAI CoE Org Structure
    • CEOs Choose Right AISPs
    • SPs of AI-Powered CEOs
  • Platform Engineering: How
    • How to Win on Platforms?
    • Greenprinting Platforms
    • Platformizing Businesses
    • What's your Platform?
    • Top10 Platform Engg Steps
  • What's AI Storytelling?
    • Gesalt's Principles in AI
    • AI-Cloud Change Pilot: U
    • What's your AI story?
    • 5 C's of AI-Data-Cloud
    • Unique AI stories: How to
    • Checklist: AI Narrative
    • AI Storytelling with 5D's
  • 3-Mnt Story Boilerplates
    • AWS: Cloud-AI-Data Pivots
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    • AI Boilerplate Example
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HOW TO USE STORYBOARDING TECH FOR BUILDING DATA STORIES

Storyboarding produces structural Strawman of the target data story

It's like the flowchart that we design, before developing the program/ algorithm and writing the code. It shows how the data story will flow, cascading the narrative from scenarios to scenarios, in a visual form or in the targeted textual content structure.

For example, suppose we are building the data-story of a business case for new social-media-based marketing campaigns for a series of product launches, using trends and patterns from past successful campaigns data.

  • The storyboarding starts from the targeted goal: To design a new social-media based marketing campaign for new product launches targeted towards millennial customers, with a high assurance of success.


  • The success criteria of the story: Getting the resources in terms of skills and infrastructure, and funds, that are necessary for designing and delivering a new type of marketing campaign, focused on social media. 


  • Data storyline: Analysis of success of previous campaigns - on social media vs. traditional media, for a specific targeted set of customers


  • Demonstration of the effectiveness: e.g. of social media campaigns over traditional campaigns, for the targeted customer groups


  • Simulation/ prediction/ potential scenario analysis: of alternative social media campaign design alternatives, basis the demonstrated results of previous campaigns' effectiveness analysis


  • Concluding story: Happily ever after!- Summarizing the previous analyses and simulations and presenting the business case for the new campaign


For more explanations on other techniques and applications, go to:

https://aiswitch.org/5-datastory-techniques

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  • Gesalt's Principles in AI
  • What's your AI story?
  • Why U must build AI story
  • How to build 3-mnt story
  • Declutter AI: Power of 3
  • 5 Datastory Techniques
  • Top 5 Data Story Tools
  • 3-Minute Data Stories
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