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.
Foundry was born through solving critical needs that have arisen while dealing with massive geospatial datasets. Foundry commercial software is built upon Continental Mapping’s expertise in building geospatial data, as well as proven agility to meet requests and needs of partners and clients.
The product road map includes release of additional geospatial production tools, data quality and fitness of use, cloud-based lidar data management, geospatial project management, and predictive analytics. See Noodle for some of thought process behind those activities.
Open source technology is a critical component to our GEOINT clients. We assist those clients by sourcing volunteered geographic information, building and managing open data, giving geospatial context to data, porting select tools to open source technologies, and offering development services to our clients to extend existing applications.
for Microstation
Finished with a project? Validate all your drawing settings and tidy up your project.
for ArcGIS
Clean up the vertices along linear networks where 3 or more segments intersect.
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.