Data Visualization: When Does it Work and When it Doesn't?

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Ignatius D, Manager, India
Data Visualization (DV) can sometimes be very useful as it may show something that's hidden when we only see the raw data. Many inferences can be drawn by visualizing data and that can be really useful in many conditions. But on the other hand sometimes data is just visualized without any proper reason and that is not adding any information to the present situation. How can you assess if data visualization will work or if is it not needed?
  1. INTERPRETABLE First of all, to get valuable insights from the data, it should be interpretable and relevant. So the data you are using should be collected and structured as most of the data available is random and unstructured, this will help you decide if the data is interpretable.
  2. RELEVANT Secondly, the data should be relevant to the problem you are facing.
  3. USEFUL PERSPECTIVE Finally, it should be original and should focus on the problem at hand and give a new perspective.
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  Gandhi Heryanto, Management Consultant, Indonesia
 

Goals and Objectives of Visualization

I refer to the original article of Scott Berinato (...)

 
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