Programming Reporting Sample Data Processing Analysis
Data Processing and Analysis
Fast, Experienced, Knowledgable.
Data Processing
  • Data delivery in flat ascii, comma-delimited, Excel, or fully-labeled SPSS
  • Quick turn-around on custom data processing requests
  • Cross-tabulations (with or without statistical testing) in Word and/or Excel
  • Summary and full analysis reports in Powerpoint and/or Word
  • Analytical techniques include: Data Weighting, Correlation Analysis, Need-gap analysis, Key Driver / Multiple Regression Analysis, Factor Analysis, Segmentation Analysis, Kano Model Analysis, Net Promoter Score, Van Westerndorp Price Sensitivity Meter, TURF Analysis, Perceptual Maps, Heat Maps/Concept Clicker Analysis