Poor data quality costs the US economy alone an estimated $3.1B/year. What is your geospatial data good for? How does the quality of a new data set compare to that of an existing one? Don’t guess - use Data Fitness to measure quality in an unbiased, repeatable and statistically valid way.
Data Fitness delivers a data quality diagnostic that quantify errors of omission (things missed), errors of commission (over collected), and attribute accuracy. Evaluate, score and quantify data's fitness for use.