Week 6: Business Reporting, Visual Analytics & Dashboards (Part 2)…
Week 6: Business Reporting, Visual Analytics & Dashboards (Part 2) Chapter 2
Dashboards provide visual displays of important information that is consolidated and arranged on a single screen so that information can be digested at a single glance and easily drilled in and further explored.
Visual Perception in Pre-attentive Processing
- 4 categories (pre-attentive attributes)
- Flicker (A visual attribute of an object, such as color, continuously changes back and forth between two values, or the entire object it-self repeatedly appears and then disappears.)
- Line length
- Line width
- Added marks
- The Gestalt approach focused on looking at things as a whole, suggesting that the whole was more than simply the sum of its parts.
- 6 Principles for grouping, separating, emphasizing data:
- Principle of Proximity
- Principle of Closure
- Principle of Similarity
- Principle of Continuity
- Principle of Enclosure
- Principle of Connection
Principle of Connection
- States that we perceive objects that are connected in some way as belonging to the same group. Grouping produced by connection is stronger than that produced by proximity or similarity (colour, size and shape)
Principle of Proximity: states that we perceive objectives that are located near one another as belonging to the same group.
Principle of Similarity: states that we perceive objects share some visual attribute as belonging to the same group.
- Humans tends to group objects that are similar in: colour, size, shape, orientation
Principle of Enclosure: states that the objects that are enclosed by a visible border are perceived as belonging together
Principle of Closure: asserts that humans perceive open structures as closed, complete or regular when we can reasonably do so.
- Enclosure is not necessary and will create clutter.
Principle of Continuity: asserts that humans perceive objects as belonging together if they are aligned with one another.
- Principle is used to group data on a dashboard - distinct alignment is used for different departments within a division
Telling a story from your data
- Data always tells a Story:
- Reasons for manufacturing defects
- Selling of new ideas
- Informing colleagues of a particular customer service improvement program
- A fact-based story has to be factual, detail-oriented and data-driven but not overwhelming the auidence with data and facts without context.
Why do Story Telling?
- Make sense and order of the data
- See the whole where there are disparate parts
- Give vision to what the future can look like
- Interactive - people put themselves into stories
- Support an Argument
What make a Good Story?
- A good story involves characters
- Challenge is believabale
- Hurdles to overcome
- Outcome or prognosis is clear
5 Steps to Creating a Good Story
- Thinking of your analysis as a story
- Find the story first: explore the data
- Determine what you want people to do as a result
- Write out the "story board" for your audience
- Be authentic
- Make it personal/emotional
- Start with metaphor or anecdote
- Develop with data: Authenticity is rooted in facts and facts are rooted in data
- Be Visual
- Use graphs, charts, pictures when possible
- Design your graphs for instant readability but allow for layers of meaning as the graph is studied
- Use descriptive title, captivating images to get the point across.
- Apply the design principles you learn.
- When designing infographics, include the subject's theme into the design and display itself.
- Make it easy for your audience and you
- Telling a story should be simple and direct. Recall and action will be that muych stronger
- Stick to 2-3 key issues and how they relate to your audience
- Invite and direct discussion
- Focus on highlighting what the audience needs
- Highlight key fact that relate to the story
- Extend the story parameters into questions
- Invite audience to continue the discussion via group discussion, blogs, intranets, newsgroups