Analytics in Action - Storytelling
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This document provides an introduction to data storytelling and visual communications. It discusses how visuals can help people remember information by appealing to how humans learn visually. Effective visuals use principles like proximity, similarity, closure and symmetry to group related elements. The document then outlines a process for designing visual CVs and storytelling, including defining a pitch, producing the message, testing and revising. An assignment section provides evaluation criteria and asks students to introduce themselves, their experience, and how they fit a company's needs in a visual storytelling format.
Analytics in Action - Storytelling
- 1. Introduction ©2017 L. SCHLENKER Data Storytelling February 2019 Analytics in Action http://dsign4.education/
- 2. Introduction ©2016 L. SCHLENKER Agenda Introduction A Data Science Problem Storytelling Visual Communications Individual/Group Assignment
- 3. • The positions are rarely well defined • The aptitudes and competencies are difficult to detect • The lack of specialized head hunters • The inflation of data science degrees BAI, What are the Key Skills in Data Science? (2017) The Problem ©2017 Business Analytics Institute
- 4. • Visual c.v.s • Optimizing the meaning of the data • Transforming data into a call for action • A career strategy BAI, What do we really need to know about Data?(2017) ©2017 Business Analytics Institute The Problem
- 5. Six secondes per candidate • A global flood of talent • The use of machine reading • The difficulties in qualifying skills BAI, What is the who, where, and when of an education in Data Science? (2017) ©2017 Business Analytics Institute The Problem
- 7. How do we remember anything? The Problem
- 8. ©2016 L. SCHLENKER Frame Cloud Figure (s) Oracle Leon Battista Alberti the Frame, the Figures, the Horizon and the Oracle Storytelling
- 9. How effectively will you tell this story to customer ? • Disti Engagement • Disti PAM Engagement • SMB Engagement Challenges Skills Roadmap • A story begins with conflict •What business problems are we trying to solve •Transform a conflict into opportunity? • How does changing the roles move this story forward? •Is it a question of people, process or technology? •What is the next step? Storytelling • Why does this situation exist? •What knowledge and skills are missing? • Who are the heros of this story?
- 10. Storytelling Storytelling in business • The conflict • The context • The way forward • The happy end (a call to action)
- 11. Data Storytelling Visual Communication is a process of sending and receiving messages using images. Being visually literate means working with a combination of syntax and semantics. Syntax is the actual form or building blocks of an image - its structure and organization. Semantics concern how meaning or content is created through form and structure
- 12. ©2014 L. SCHLENKER H. DAMISCHH People remember 10% of what they hear, 20% of what they read, but 80% of what they see The Noun Project 83% of human learning occurs visually Symbols are universal and communicate a lot of information without faster than words Data Storytelling
- 13. We can best perceive a design that is well organized. A design that is composed well has a structure that is easily understood and experienced. Designers call good form “Gestalt”. It is our innate tendencies that see as "belonging together" elements that look alike (called "similarity grouping"), are close together ("proximity grouping") or have structural economy ("good continuation"). This symbol is easily read due to the organization of the figure. We ‘fill in’ the missing information or do what is called ‘closure’. The faces are implied, not fully described. The relationship of parts makes the faces recognizable. http://www.metgroup.com/projects/ Data Storytelling
- 14. Proximity— we perceive objects that are close to each other as forming a group Similarity— an assortment of similar objects are perceptually grouped together Closure—letters, pictures, etc., as seen as whole even when they are not complete Symmetry— the mind perceives objects as being symmetrical around a center point Continuity— objects tend to be grouped if they are aligned within an object Imagery
- 15. • Scan the context • Qualify the data at hand • Choose the right method • Transform data into action Assignment The Business Analytics Institute https://baieurope.com
- 16. 1. Create The Storyboard 2. Define Your Pitch 3. ProduceYour Message 4. Design Your Style 5. Test and Revise Visual CV – The Design Process Case Study
- 17. Storytelling with Data Assignment Introduce yourself - who are you (elevator pitch)? •Current title/company •Previous title/company and positions •Education How do you fit into the company’s story? Demonstrate your understanding of the challenges and opportunities of the company Whats your story -Present your profile and data in the context of that company -adapt the C.V. to that particular industry by focusing on the skills that will be useful to that industry What is their Happy Ending? Give the company their happy ending, tell them why they would win by hiring you.
- 18. • Speak to your audience • Relate your role and the industry • Put yourself in their story • Make it readable • Provide a feeback mechanism Visual CV – Evaluation criteria Assignmentand typing in "PiktoF6S" https://create.piktochart.com/redeem "PiktoF6S"
- 19. • Berinato, S., (2016) Visualizations that Really Work • Duarte N., (2014) The Quick and Dirty on Data Visualization • Fanguy, W/, (2017?), How Creating an Infographic Resume Helped Me Get a Job • Knaflic, C.N.., (2015) Storytelling with Data: A Data Visualization Guide for Business Professionals • Tay, D. , (2016), 70 Well-Designed Resume Examples For Your Inspiration • Nussbaumer, C., The Cat in the Hat Knows a lot about Data Visualization (video) Bibliography Next Steps
- 20. • What is the organization’s business model? • Why does the organization focus on data? • How is the Data Science team organized? • Which data science techniques does the organization favor ? • What is the link between data science and decision making? • How does the organization use Data Science to propel growth Case Methodology Case Study