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Slide Makeover
     Video Podcast #75:
Transforming data dump slides


  Based on the ideas in
“Present It So They Get It”
     by Dave Paradi


         www.PresentItSoTheyGetIt.com
The slide for this makeover comes
from a government agency.

It is typical of a data dump slide.

Here it is.
Notice how 1994
   is missing
The red numbers
   seem to be
 important, but
  not sure why
The title doesn’t
tell us the point
  of this slide
With so much data, we
 have no idea how to
  determine what the
  message is. So we
usually give up trying to
      figure it out.
What can we do with this slide?

When presenting a time
sequenced set of
measurements, it is usually best to
use a graph

Like this.
The headline
summarizes the point
  so the audience
  understands our
 message before we
show them the graph
We start by explaining
that the number of SSOs
 is related to rainfall, so
   we want to show the
       relationship.
First we show that the
 amount of rainfall hasn’t
really changed that much
  over the years. It stays
     pretty consistent.
If the relationship
   between SSOs and
rainfall is constant, then
  the number of SSOs
shouldn’t change much
      over the years.
Dramatic increase in SSOs in
                     recent years
                               160                  When we add the line                                                                                    140
                                                    showing the number
Rainfall in inches (columns)




                                                                                                                                                            120




                                                                                                                                                                  Number of SSOs (line)
                               120
                                                    of SSOs, we can see
                                                        it has taken a                                                                                      100
                                                    dramatic spike up in                                                                                    80
                                80                       recent years
                                                                                                                                                            60

                                                                                                                                                            40
                                40
                                                                                                                                                            20

                                 0                                                                                                                          0
                                                                                      1991
                                     1977
                                            1979
                                                   1981
                                                          1983
                                                                 1985
                                                                        1987
                                                                               1989


                                                                                             1993
                                                                                                    1996
                                                                                                           1998
                                                                                                                  2000
                                                                                                                         2002
                                                                                                                                2004
                                                                                                                                       2006
                                                                                                                                              2008
                                                                                                                                                     2010
Now that we have shown what the
problem is, we can move on to
explain why it is happening and
what we should do about it in the
rest of the presentation.
What lessons can we learn about
transforming data dump slides?
Lesson #1:
It is your responsibility as a
presenter to analyze the data and
figure out the point. Don’t make
the audience do the work
(because they won’t).
Lesson #2:
Show trends in graphs, not tables
of numbers. Graphs make the
point much clearer.
Lesson #3:
When using dual-axis graphs, add
explanatory text on the axis labels
instead of using a legend on the
side.
Lesson #4:
When showing more than one
series of data, build them one at a
time on the slide so you can
explain each series to the
audience.
Quick recap:




        Before                                          After

  Lessons:
  1. Analyze the data to determine the point
  2. Show trends in graphs, not tables
  3. Add explanatory text in axis labels instead of legends
  4. Build data series one by one in a graph


        More makeovers available at www.SlideMakeoverVideos.com
If you would like me to help
your team create more
effective presentations, get
in touch:



 P: 905-510-4911
 E: Dave@ThinkOutsideTheSlide.com
 W: www.ThinkOutsideTheSlide.com

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PowerPoint Slide Makeover #75: Transforming Data Dump Slides

  • 1. Slide Makeover Video Podcast #75: Transforming data dump slides Based on the ideas in “Present It So They Get It” by Dave Paradi www.PresentItSoTheyGetIt.com
  • 2. The slide for this makeover comes from a government agency. It is typical of a data dump slide. Here it is.
  • 3.
  • 4. Notice how 1994 is missing
  • 5. The red numbers seem to be important, but not sure why
  • 6. The title doesn’t tell us the point of this slide
  • 7. With so much data, we have no idea how to determine what the message is. So we usually give up trying to figure it out.
  • 8. What can we do with this slide? When presenting a time sequenced set of measurements, it is usually best to use a graph Like this.
  • 9. The headline summarizes the point so the audience understands our message before we show them the graph
  • 10. We start by explaining that the number of SSOs is related to rainfall, so we want to show the relationship.
  • 11. First we show that the amount of rainfall hasn’t really changed that much over the years. It stays pretty consistent.
  • 12. If the relationship between SSOs and rainfall is constant, then the number of SSOs shouldn’t change much over the years.
  • 13. Dramatic increase in SSOs in recent years 160 When we add the line 140 showing the number Rainfall in inches (columns) 120 Number of SSOs (line) 120 of SSOs, we can see it has taken a 100 dramatic spike up in 80 80 recent years 60 40 40 20 0 0 1991 1977 1979 1981 1983 1985 1987 1989 1993 1996 1998 2000 2002 2004 2006 2008 2010
  • 14. Now that we have shown what the problem is, we can move on to explain why it is happening and what we should do about it in the rest of the presentation.
  • 15. What lessons can we learn about transforming data dump slides?
  • 16. Lesson #1: It is your responsibility as a presenter to analyze the data and figure out the point. Don’t make the audience do the work (because they won’t).
  • 17. Lesson #2: Show trends in graphs, not tables of numbers. Graphs make the point much clearer.
  • 18. Lesson #3: When using dual-axis graphs, add explanatory text on the axis labels instead of using a legend on the side.
  • 19. Lesson #4: When showing more than one series of data, build them one at a time on the slide so you can explain each series to the audience.
  • 20. Quick recap: Before After Lessons: 1. Analyze the data to determine the point 2. Show trends in graphs, not tables 3. Add explanatory text in axis labels instead of legends 4. Build data series one by one in a graph More makeovers available at www.SlideMakeoverVideos.com
  • 21. If you would like me to help your team create more effective presentations, get in touch: P: 905-510-4911 E: Dave@ThinkOutsideTheSlide.com W: www.ThinkOutsideTheSlide.com