Data visualization

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Data visualization

  1. 1. Data Visualization Scott D Howell III
  2. 2. Paper Reviewed• Five Big Data Challenges By SAS
  3. 3. Why is Data Visualization Important?• Makes the data easy to understand for business professionals not familiar with the data• Allows for data to be aligned correctly so that data not needed is excluded
  4. 4. Speed of Data• Data needs to be there when it is needed and no earlier or no later• A company can gain business insight with effective construction of their network
  5. 5. Understanding the data• The business must understand the data before it can be visualized• Context is the most important piece of understanding data
  6. 6. Data Quality• Data must be quality to give the business the knowledge they need• After data is put into context the analysis must decide if the data is useful or needs to be scrubbed
  7. 7. Displaying Data• This isn’t plotting points on a graph because you would not be able to read it• Go with a high level view• Bin the data if need be
  8. 8. Dealing with Outliers• With vast amounts of data the outliers will be just as numerous• Pull outliers out and display them seperately• Don’t forget them but they are needed in visualization
  9. 9. Conclusion• Data is the most important resource to any business• Being able to show this data in a meaningful way could give the business a strategic advantage
  10. 10. Conclusion• Data is the most important resource to any business• Being able to show this data in a meaningful way could give the business a strategic advantage

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