The Future of Business Intelligence: Data Visualization
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The document discusses the importance of data visualization in the era of big data, emphasizing the need to make data comprehensible and actionable for decision-making. It highlights the skills required for effective visualization design, including technical, artistic, and storytelling aspects, while also addressing the common challenges organizations face in adopting these practices. Finally, it outlines key principles for designing effective visualizations and the importance of audience consideration in the delivery of data insights.
The Future of Business Intelligence: Data Visualization
- 1. The future of business intelligence DATA VISUALIZATIONProf. Kristen Sosulski @sosulski [email protected]
- 2. WHY IS DATA VISUALIZATION SO POPULAR?
- 3. DATA is the reason for this shift in emphasis….
- 4. We are living in the era of big data.
- 5. Think about the data you share and generate in a single day…
- 7. We’ve excelled at generating and even collecting data. ---Nathan Yau
- 8. Now, what do we do with it?
- 9. The data must become easier to understand and act upon.
- 10. How do we get there?
- 11. There comes a time when you have to talk to other people. It’s communicating to a
- 12. We can do this through data visualization.
- 13. VISUAL COMMUNICATI ON is an essential skill for all managers - Scott Berinato, 2016
- 14. Wisdom Knowledg e Information Data Bellinger, G., Castro, D., & Mills, A., 2004;
- 15. The affordances of the medium enable us to:
- 16. PRESENT HISTORY
- 19. FOSTER TIMELY DECISION MAKING ABOUT THE PRESENT
- 20. BEHAVIORS, PATTERNS, & TRENDS ABOUT THE FUTURE
- 21. AN INTERFACE… • Location-aware analysis • Person-centered analysis • Context-relevant analysis
- 23. Spreadsheets
- 24. Many values can be encoded as one piece of information
- 25. dashboards would make it 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 visualization designers 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 is worth a thousand words… Creative Commons
- 28. Not all pictures are…. • Readable • Interpretable • Meaningful • Relevant • Timely
- 29. We need to better understand the use cases. How do we go beyond the models and technology?
- 31. 1. Consider humans are your audience
- 35. Techniques for using presenter-driven visuals• Annotation highlight what’s important • Animation guide the pathway
- 36. Annotations Reserve the use of pre-attentive attributes as cues for your audience. COLOR
- 37. Annotations Reserve the use of pre-attentive attributes as cues for your audience. FORM
- 38. Annotations Reserve the use of pre-attentive attributes as cues for your audience. MOVEMENT
- 39. Annotations Reserve the use of pre-attentive attributes as cues for your audience. SPATIAL POSITION
- 40. Annotations Highlight a data point using a pre-attentive attribute.
- 41. Annotations Avoid highlighting every data point.
- 42. Animation Progressively reveal content PANNING AND ZOOMING
- 43. Animation Show time series data. TEXT AND SIZE
- 44. Animation Mark as specific data point and see how it changes over time HIGHLIGHT AND POSITION
- 45. 2. Design for comprehension and retention.
- 46. Remember, it is a translation process. Real world Data Shapes and colors Nathan Yau
- 47. Representing data through shape, size, and color
- 48. The top 10 data 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
- 49. 3. Delivery
- 50. Delivery of visualizations Projected Paper Screen
- 52. Delivery of visualizations Narrated Written Presented
- 54. Q & A
- 56. Thank You! Prof. Kristen Sosulski @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!