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Read this case study to learn how Nilan Johnson:

  • Avoided purchasing a competitive processing bid of $125,000 for a 1700 gigabyte data set
  • Utilized a robust tool to cull the enormous data set to 92 gigabytes of relevant data
  • Saved $116,500 in processing costs therefore dramatically reducing client’s fees
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