Data Cleaning

Almost all data sets contain missing, invalid, or outlying values. This can make developing models difficult and certain reports unreliable or misleading.

Our experts can assist you with:

  • Developing Logic to Identify Outliers
  • Developing Logic to Identify Invalid Data
  • Developing Procedures to Remove or Replace Problematic Data
  • Utilizing Traffic Lighting Reports to Highlight Abnormal Occurrences
  • Distributing Key Variables
  • Standardizing Addresses
  • Efficiently Storing Data to Minimize File Space
  • Cleaning Up Redundant and Extraneous Data

Contact Systems Seminar Consultants today regarding your data cleaning needs. We will help you develop processes to clean up your data and increase efficiency.