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

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Business Analytics > Forum > Data Visualization: When Does it Work and When it Doesn't?

Data Visualization: When Does it Work and When it Doesn't?
Aniket Deolikar, Student (MBA), India, Premium Member
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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  Goals and Objectives of Visualization
Gandhi Heryanto, Management Consultant, Indonesia, Premium Member
  (...) 11-7-2020

   
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Summary
Forum
Big Data Analytics: a Management Perspective
Software for Mass Data Analysis?
Data Visualization: When Does it Work and When it Doesn't?
How to Use Machine Learning in Business? 3 Steps
🔥Statistical Significance in Decision-making


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