PLOTCON NYC: The Future of Business Intelligence: Data Visualization
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This document discusses the importance and rise of data visualization. It notes that we are in an era of "big data" where vast amounts of data are being generated and collected daily through activities like searching, browsing, communicating, shopping, and more. However, simply having data is not enough - the data needs to be easier to understand and act upon. The document argues that data visualization is an essential skill for communicating information to others in an efficient and effective way. It discusses some of the challenges in designing good visualizations that are readable, interpretable, meaningful, relevant and timely for audiences. The document provides tips on designing visualizations with the audience and comprehension in mind through techniques like annotation and animation. Human: Thank you
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PLOTCON NYC: The Future of Business Intelligence: Data Visualization
- 1. The future ofbusiness intelligence DATA VISUALIZATIONProf. Kristen Sosulski @sosulski [email protected]
- 2. WHY IS DATA VISUALIZATION SOPOPULAR?
- 3. DATA is the reasonfor this shift in emphasis….
- 4. We are livingin the era of big data.
- 5. Think about thedata you share and generate in a single day…
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- 7. We’ve excelled at generatingand even collecting data. ---Nathan Yau
- 8. Now, what dowe do with it?
- 9. The data must becomeeasier to understand and act upon.
- 10. How do weget there?
- 11. There comes atime when you have to talk to other people. It’s communicating to a
- 12. We can dothis through data visualization.
- 13. VISUAL COMMUNICATI ON is an essentialskill for all managers - Scott Berinato, 2016
- 14. Wisdom Knowledg e Information Data Bellinger, G., Castro,D., & Mills, A., 2004;
- 15. The affordances of themedium enable us to:
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- 21. AN INTERFACE… • Location-aware analysis •Person-centered analysis • Context-relevant analysis
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- 24. Many values canbe encoded as one piece of information
- 25. dashboards would makeit appear that data visualization must be commonplace, the reality is that most organizations are in the early stages of adoption and are still learning what users need. --David Stodder, Senior Director of TWDI Research for Business Intelligence, 2013
- 26. The Challenge As visualizationdesigners we are “melding the skills of computer science, statistics, artistic design, and storytelling” K. Cukier (2010). Show me: New ways of vi http://www.economist.com/node/15557455
- 27. A picture isworth a thousand words… Creative Commons
- 28. Not all picturesare…. • Readable • Interpretable • Meaningful • Relevant • Timely
- 29. We need tobetter understand the use cases. How do we go beyond the models and technology?
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- 31. 1. Consider humans areyour audience
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- 35. Techniques for using presenter-driven visuals•Annotation highlight what’s important • Animation guide the pathway
- 36. Annotations Reserve the useof pre-attentive attributes as cues for your audience. COLOR
- 37. Annotations Reserve the useof pre-attentive attributes as cues for your audience. FORM
- 38. Annotations Reserve the useof pre-attentive attributes as cues for your audience. MOVEMENT
- 39. Annotations Reserve the useof pre-attentive attributes as cues for your audience. SPATIAL POSITION
- 40. Annotations Highlight a datapoint using a pre-attentive attribute.
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- 43. Animation Show time seriesdata. TEXT AND SIZE
- 44. Animation Mark as specificdata point and see how it changes over time HIGHLIGHT AND POSITION
- 45. 2. Design for comprehensionand retention.
- 46. Remember, it isa translation process. Real world Data Shapes and colors Nathan Yau
- 47. Representing data through shape,size, and color
- 48. The top 10data visualization design principles1. Chart type 2. Color 3. Text and labels 4. Readability 5. Scales and proportions 6. Data integrity & the lie factor 7. Chart Junk 8. Data density 9. Data-ink ratio 10. Data Richness
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- 56. Thank You! Prof. KristenSosulski @sosulski [email protected]
Editor's Notes
- #2 DATA VISUALIZATION A medium for data exploration, decision making, understanding, and storytelling Kristen Sosulski The future of business intelligence: Data Visualization How can data visualization be used as a platform to reveal intelligent insights and help business analysts make timely decisions? In this talk, Kristen Sosulski will discuss the opportunities for personalized, location aware, context relevant, and platform independent information visualizations as a toolkit for business analysts.
- #3 Visual communication is an essential skill for our business leaders. What is driving this need?Why are classes in DV and BI overbooke?
- #4 Visual communication is an essential skill for our business leaders. What is driving this need?
- #5 All of a sudden you have thousands of customers feeding data into your computers every minute You have more information than ever before. Data sets that are too large and complex that they become awkward or impossible to work with using database management tools.
- #7 Interactive Q & A Searching: Google/Bing/Yahoo Searches Browsing: Clickstream/Page views/Web transactions Communicating: Email, texts, phone calls Mobile phone/GPS/Location data, facebook shares Shopping: CRM transactions, RFID, Bar Code Scanner Data Testing and Monitoring: Real-time machinery diagnostics/engines/equipment Trading: Stock market transactions Connecting: Twitter updates and Facebook posts Contributing: Wikipedia edits, blog posts, comments, trip advisor, yelp
- #10 In a data
- #12 Who are you designing for? What types of decisions is your user/audience making? It’s about communicating your analysis to others.
- #14 Visual communication is an essential skill for our business leaders. What is driving this need?
- #17 THE AFFORDANCES OF VISUALIZATION DATA VISUALIZATION A medium for data exploration, decision making, understanding, and storytelling
- #18 DATA VISUALIZATION A medium for data exploration, decision making, understanding, and storytelling
- #19 DATA VISUALIZATION A medium for data exploration, decision making, understanding, and storytelling
- #20 DATA VISUALIZATION A medium for data exploration, decision making, understanding, and storytelling
- #21 DATA VISUALIZATION A medium for data exploration, decision making, understanding, and storytelling
- #22 DATA VISUALIZATION A medium for data exploration, decision making, understanding, and storytelling http://s3.amazonaws.com/academia.edu.documents/32970305/FROM_BIG_DATA_TO_BIG_IMPACT.pdf?AWSAccessKeyId=AKIAJ56TQJRTWSMTNPEA&Expires=1475441759&Signature=uMNLF3m94IuiU4XTava3QOj3DMA%3D&response-content-disposition=inline%3B%20filename%3DSPECIAL_ISSUE_BUSINESS_INTELLIGENCE_RESE.pdf
- #23 DATA VISUALIZATION A medium for data exploration, decision making, understanding, and storytelling
- #24 No amount of staring at one is going to teach you about the data. Traditional reports using tables, rows, and columns do not paint the whole picture or, even worse, lead an analyst to a wrong conclusion.
- #30 How will the knowledge be used? When is it needed
- #33 DC: Humans possess separate channels for processing visual and auditory information LC Humans are limited in the amount of information that they can process in each channel at one time AP Humans engage in active learning by attending to relevant incoming information, organizing selected information into coherent mental representations, and integrating mental representations with other knowledge
- #46 Design for understanding and remembering, not for splash or effect.
- #49 Handout!