A look into the proven and robust standards towards data reporting. The Goal is making it easy for everybody involved to focus on what’s important.
Agenda:
1 a little history of information visualization
2 how to communicate facts and figures
by René Stoffels-Fuchs, BI Frontend Architect at Generali IT
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
Shortest path from seeing to understanding - benefits of strict standards in presenting data. By René Stoffels-Fuchs
1. Shortest path from seeing to understanding -
benefits of strict standards in presenting data
Aachen, 01. Oktober 2019
René Stoffels-Fuchs
User Experience of Data – Visualizing Data for Actionable Insights
9. Guidelines for a good data communication
8
1. publish only when you have something to say
2. remove everything that has no meaning
3. show an accurate and methodically correct view of the values
4. present information in high density to strengthen the statement
5. diagrams: select the appropriate type for the data to be shown
6. repetition is king: define and use your own notation concept
7. use colours wisely
10. Guidelines for a good data communication
“publish only when you have something to say”
9
business guy BI-guy
once: they defined KPIs,
defined the sources
management has to search
for something important
they regularly talk about relevant events
the BI-guy makes
the important visible
(with a good bi-tool) management is able to manage
the bi-tool automaticaly
generates a report for
every KPI
11. 10
Guidelines for a good data communication
“remove everything that has no meaning”
12. 11
Guidelines for a good data communication
“show an accurate and methodically correct view of the values”
13. 12
Guidelines for a good data communication
“present information in high density to strengthen the statement”
14. 13
Guidelines for a good data communication
“diagrams: select the appropriate type for the data to be shown”
15. 14
Guidelines for a good data communication
“repetition is king: define and use your own notation concept”
16. 15
Guidelines for a good data communication
“repetition is king: define and use your own notation concept”
conceptional, perceptual & semantical standards
17. 16
Guidelines for a good data communication
“repetition is king: define and use your own notation concept”
18. 17
Guidelines for a good data communication
“use colours wisely”
• use colours to show positive or negativ deviation
• please don’t use corporate colours for the diagrams
19. benefits of strict standards
18
• you lower the entrance threshold
• you facilitate the perception of the information
considerably
• you speed up the time between seeing and
understanding
• recipients stop feeling guilty
(for not having looked into your reports)
• the time has come for data-based decisions
and a more intensive cooperation