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3 Ways to
Make Data
Visualization
Useful
Understand Data Modeling
Fundmentals
• This may sound / seem like overkill, but if
you're going to work with a tool like Tableau
or Qlikview, having the basics down around
how data works and how to model it
effectively means you can go into some data
source somewhere, understand it down to the
elements themselves, and join that data
together in a way that allows for meaningful
and accurate analytics.
Focus on Impact vs Interesting
• The world is full of interesting data, that would
make for all kinds of interesting conversations.
However, very little of that translates into
impactful data that can make a material impact
on a company's bottom line. Knowing what's
interesting vs impactful can make the difference
between a bunch of nice looking visualizations, vs
an impacting dashboard that drives business
change and makes what you're doing both useful
and practical.
Know your audience
• The most important step in making data
visualization useful is to know your audience, and
tailor the output in a way that makes it the most
useful for the consumer. A CFO typically won't
want to see the same visualization as a CMO, and
with the majority of data visualization tools
allowing for the ability to filter / slice / drill based
on the data available in a cube, you can tailor
content like never before and perform ad-hoc
data analysis with less construction up front
required.
Thank You!
https://www.facebook.com/tyronesystems
https://www.linkedin.com/company/tyronesystems
https://twitter.com/tyronesystems
Source: https://www.capgemini.com/blog/capping-it-off/2015/09/3-ways-to-make-data-visualization-useful

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3 ways to make data visualization useful

  • 1. 3 Ways to Make Data Visualization Useful
  • 2. Understand Data Modeling Fundmentals • This may sound / seem like overkill, but if you're going to work with a tool like Tableau or Qlikview, having the basics down around how data works and how to model it effectively means you can go into some data source somewhere, understand it down to the elements themselves, and join that data together in a way that allows for meaningful and accurate analytics.
  • 3. Focus on Impact vs Interesting • The world is full of interesting data, that would make for all kinds of interesting conversations. However, very little of that translates into impactful data that can make a material impact on a company's bottom line. Knowing what's interesting vs impactful can make the difference between a bunch of nice looking visualizations, vs an impacting dashboard that drives business change and makes what you're doing both useful and practical.
  • 4. Know your audience • The most important step in making data visualization useful is to know your audience, and tailor the output in a way that makes it the most useful for the consumer. A CFO typically won't want to see the same visualization as a CMO, and with the majority of data visualization tools allowing for the ability to filter / slice / drill based on the data available in a cube, you can tailor content like never before and perform ad-hoc data analysis with less construction up front required.