Agenda for Wednesday, Oct 17
–Tableau Cocktail Party: Filter a Map
–Building Dashboards in Tableau
–Class Exercise: Build dashboard with an interactive graphic, a static graphic and a map, Post to Tableau Public.
Homework:
Build a Dashboard in Tableau
Build dashboard with an interactive graphic, an interactive map, an image and a headline. You will want the graphic and map to have some related data field, such as school name or other variable.
Construct a filter to control both the graphic and map.
Export your dashboard to Tableau Public, embed on WordPress. Post the WordPress link here.
Assignment due 11:59 pm Saturday Oct 20
CNN – Magic Wall
Josh Braun of CNN will demonstrate the network’s “magic wall” data visualization tool that shows real-time election results, maps, charts etc. It’s Tableau on steroids.
This is a rare opportunity to learn about one of the most innovative data journalism tools used in broadcasting today.
Wednesday, Oct 17 5 p-6 p Kimpel 102.
Guest Speaker Nov. 12
Megan Putney, head of Northwest Arkansas Tableau Users Group and an executive at Mikes Hard Lemonade
https://www.linkedin.com/in/megan-putney-21432839/
DashBoard Design
Version 1
Role :- 1)Strategic 2)Analytical 3)Operational
1.Dashboards for strategic purposes
The primary use of dashboards today is for strategic purposes. The popular “executive dashboard,” and
most of the dashboards that support managers at any level in an organization, are strategic in nature. They
provide the quick overview that decision makers need to monitor the health and opportunities of the
business.
Dashboards of this type focus on high‐level measures of performance, including forecasts to light
the path into the future. Although these measures can benefit from contextual information to clarify the
meaning, such as comparisons to targets and brief histories, along with simple evaluators of performance
(for example, good and bad), too much information of this type or too many subtle gradations can distract
from the primary and immediate goals of the strategic decision maker.
2. Dashboards for analytical purposes
Dashboards that support data analysis require a different design approach. In these cases the information
often demands greater context, such as rich comparisons, more extensive history, and subtler performance
evaluators. Like strategic dashboards, analytical dashboards also benefit from static snapshots of data that
are not constantly changing from one moment to the next. However, more sophisticated display media are
often useful for the analyst who must examine complex data and relationships and is willing to invest the
time needed to learn how they work. Analytical dashboards should support interactions with the data, such
as drilling down into the underlying details, to enable the exploration needed to make sense of itthat is, not
just to see what is going on but to examine the causes. For example, it isn’t enough to see that sales are
decreasing; when your purpose is analysis, you must be made aware of such patterns so that you can then
explore them to discover what is causing the decrease and how it might be corrected. The dashboard itself,
as a monitoring device that tells the analyst what to investigate, need not support all the subsequent
interactions directly, but it should link as seamlessly as possible to the means to analyze the data.
3.Dashboards for operational purposes
When dashboards are used to monitor operations, they must be designed differently from those that
support strategic decision making or data analysis. The characteristic of operations that uniquely influences
the design of dashboards most is their dynamic and immediate nature. When you monitor operations, you
must maintain awareness of activities and events that are constantly changing and might require attention
and response at a moment’s notice. If the robotic arm on the manufacturing assembly line that attaches
the car door to the chassis runs out of bolts, you can’t wait until the next day to become aware of the
problem and take action. Likewise, if traffic on your web site suddenly drops to half its normal level, you
want to be notified immediately.
As with strategic dashboards, the display media on operational dashboards must be very simple. In the
stressful event of an emergency that requires an immediate response, the meaning of the situation and the
appropriate responses must be extremely clear and simple, or mistakes will be made. In contrast to
strategic dashboards, operational dashboards must have the means to grab your attention immediately if
an operation falls outside the acceptable threshold of performance. Also, the information that appears on
operational dashboards is often more specific, providing a deeper level of detail. If a critical shipment is at
risk of missing its deadline, a high‐level statistic won’t do; you need to know the order number, who’s
handling it, and where it is in the warehouse. Details like these might appear automatically on an
operational dashboard, or they might be accessed by drilling down on or hovering the mouse over higher‐
level data, so interactivity is often useful.
The ways that dashboard design must take different forms in response to different roles are clearly worth
your attention. We’ll examine some of these differences in more detail in Chapter 8, Putting It All Together,
when we review several examples of what works and what doesn’t for various purposes.
https://public.tableau.com/profile/ravi2917#!/vizhome/LorealDemo/StrategicDashboard
Announcement: Nov 5 & 7 Classes Will Be Online
I will be out of town that week. Details about these Blackboard sessions will be announced before I leave.