Harvester Filters 1700 Gigabyte Data Set and Saves Nilan Johnson $116,500 in Processing Costs

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