Cleaning out the Fence Row and Data Management/Presentation
Every year in late winter/early spring I look at the fence row in my back yard and realize it is time to clean it out. The process is nearly identical every time. I start with large pruners and cut back branches so I can get in between the fence and what I need to clean. Once I have made a "path", I get out the chainsaw and cut down all the large unwanted growth that has occurred since the last time I cleaned the fence row. Then I make a brush pile for all the large debris. Next I use the hand pruners to remove all the growth that has entangled itself in the fence.
Now I step back and look at my handy work and quite frankly I am always underwhelmed :(
The fence row looks like it should.
Data analysis and management is like cleaning out the fence row. The data shown above is just not real meaningful to most people.
Large Pruners- Most people are used to seeing data that is linked to Key Performance Indicators.
Know your audience! It is likely that the majority of your data presentations should be tied to clearly defined business goals. Give the big picture.
Hand Pruners- Drill down your data into the appropriate subsets that are relevant to your audience. This drill down should allow your audience to gain insight into what impact their job function has on the results.
Brush Pile- Not all collected Data is meaningful to achieving your companies goals, Today. Keep a brush pile of data. There may come a time when it is useful.
Data presentation does not have to be boring:
Most audiences don't want to look at raw data, a bar graph or a line chart.
I really like the tools offered at Infocaptor for presenting data.