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