As data moves into decision support, analytics modeling, detail on where is needed for spatiotemporal 'asks'. When and where data is available, it is usually in pieces covering smaller areas, and not an integrated fabric covering the area of interest. This is geospatial data.
Adding the where dimension to your reporting, analytics, and monitoring adds immense value to operations, decisions, and planning. It permeates everywhere, yet is elusive in most organizations. It requires organization the community of supply capabilities driven by the community of use needs and questions sought.
Clients look for geospatial data strategy, design, and solutions by some of the largest and most complex geospatial programs around the world.
- Geospatial Platforms (ESRI, FOSS4g, Analytics) (Design, Dev)
- Geospatial Supply Chain Pipelines (Design, Dev)
- Geospatial Data and Application Portfolio Rationalization (Strategy)
- Geospatial & Cartographic Data Product Maintenance
Top 5 Challenges Geospatial Data Face
- Geospatial data has a large variety of themes, standards, as it is a horizontal to integrate with various themes. This provides a challenge in how to integrate.
- Geospatial data as a horizontal is new to integrating with temporal and financial content that adds a newer dimension to solutions.
- Geospatial data has various levels of coverage from very detailed, large scale to national and global small scale without a clear vision of where the organization should play.
- Geospatial data has been treated largely as a separate group to solve GIS Survey, map making, and has not been opened up to integrate to support.
- Geospatial requires end to end understanding of data supply chains, production management, product generation, service delivery platforms, and application integration.