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ENGAGED STORYTELLING WITH INFORMATION VISUALIZATION
The future of business intelligenceDATA VISUALIZATION
Prof. Kristen Sosulski@sosulski [email protected]
DATA VISUALIZATIONA medium for data exploration, decision making, understanding, and storytelling
Kristen SosulskiThe future of business intelligence: Data VisualizationHow 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.
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WHY IS DATA VISUALIZATION SO POPULAR?
Visual communication is an essential skill for our business leaders. What is driving this need?Why are classes in DV and BI overbooke?2
DATA is the reason for this shift in emphasis.
Visual communication is an essential skill for our business leaders. What is driving this need?3
We are living in the era of big data.
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.
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Think about the data you share and generate in a single day
Interactive Q & ASearching: Google/Bing/Yahoo Searches
Browsing: Clickstream/Page views/Web transactions
Communicating: Email, texts, phone callsMobile 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
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Weve excelled at generating and even collecting data.
---Nathan Yau012
Now, what do we do with it?
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The data must become easier to understand and act upon.
In a data 9
How do we get there?
There comes a time when you have to talk to other people. Its communicating to a greater audience.
Who are you designing for?What types of decisions is your user/audience making?Its about communicating your analysis to others.
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We can do this through data visualization.
VISUAL COMMUNICATIONis an essential skill for all managers -Scott Berinato, 2016
Visual communication is an essential skill for our business leaders. What is driving this need?13
Bellinger, G., Castro, D., & Mills, A., 2004; Ackoff, 1989
The affordances of the medium enable us to:
PRESENT HISTORY
THE AFFORDANCES OF VISUALIZATION
DATA VISUALIZATIONA medium for data exploration, decision making, understanding, and storytelling
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REVEAL INTELLIGENT INSIGHTS ABOUTTHE PAST
DATA VISUALIZATIONA medium for data exploration, decision making, understanding, and storytelling
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DESCRIBE WHAT IS HAPPENING NOW
DATA VISUALIZATIONA medium for data exploration, decision making, understanding, and storytelling
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FOSTER TIMELY DECISION MAKING ABOUT THE PRESENT
DATA VISUALIZATIONA medium for data exploration, decision making, understanding, and storytelling
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PREDICT BEHAVIORS, PATTERNS, & TRENDS ABOUT THE FUTURE
DATA VISUALIZATIONA medium for data exploration, decision making, understanding, and storytelling
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AN INTERFACE Location-aware analysis Person-centered analysis Context-relevant analysis
DATA VISUALIZATIONA 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.pdf21
BUT WE NEED TO DO IT EFFICIENTLY AND EFFECTIVELY
DATA VISUALIZATIONA medium for data exploration, decision making, understanding, and storytelling
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Spreadsheets
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.
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Many values can be encoded as one piece of information
Although the seeming ubiquity of BI 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
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The ChallengeAs visualization designers we are melding the skills of computer science, statistics, artistic design, and storytellingK. Cukier (2010). Show me: New ways of visualizing data.http://www.economist.com/node/15557455
A picture is worth a thousand words
Creative Commons
Not all pictures are.ReadableInterpretableMeaningfulRelevantTimely
We need to better understand the use cases. How do we go beyond the models and technology?
How will the knowledge be used? When is it needed29
1. Consider humans are your audience
Underlying assumptions
DC: Humans possess separate channels for processing visual and auditory informationLC Humans are limited in the amount of information that they can process in each channel at one timeAP 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
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Techniques for using presenter-driven visuals
Annotation highlight whats importantAnimation guide the pathway
AnnotationsReserve the use of pre-attentive attributes as cues for your audience.
COLOR
AnnotationsReserve the use of pre-attentive attributes as cues for your audience.
FORM
AnnotationsReserve the use of pre-attentive attributes as cues for your audience.
MOVEMENT
AnnotationsReserve the use of pre-attentive attributes as cues for your audience.
SPATIAL POSITION
AnnotationsHighlight a data point using a pre-attentive attribute.
AnnotationsAvoid highlighting every data point.
AnimationProgressively reveal content
PANNING AND ZOOMING
AnimationShow time series data.
TEXT AND SIZE
AnimationMark as specific data point and see how it changes over time
HIGHLIGHT AND POSITION
2. Design for comprehension and retention.
Design for understanding and remembering, not for splash or effect. 45
Remember, it is a translation process.Nathan Yau
Representing data through shape, size, and color
The top 10 data visualization design principlesChart typeColorText and labelsReadabilityScales and proportionsData integrity & the lie factorChart JunkData densityData-ink ratioData Richness
Handout!48
3. Delivery
Delivery of visualizations
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Delivery of visualizations
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Delivery of visualizations
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Q & A
Thank You!Prof. Kristen Sosulski@sosulski [email protected]