Fieldwork is demanding, expensive, and full of unforeseen challenges. Achieving an optimized, efficient workflow involves iterative stages, trial and error, and focused testing. These efforts balance trade-offs to capture the necessary data. Join Coleman McCormick, in collaboration with Geo Week, as he shares best practices for designing field data processes.
In this session, we addressed a field project’s essential tasks through various phases. We examined planning and prototyping (before), collection (during), and reporting (after). Additionally, we identified the top five best practices for each phase of designing field data processes.
What we covered:
Speaker: Coleman McCormick, VP of Product Development at Fulcrum
Coleman McCormick has been building software products for 15 years, at the intersection of GIS, workforce optimization, and field inspection management. Coleman heads up Fulcrum’s product design team, advancing our technology and working with customers to build best-in-class tools for managing their field workflows and processes. Before Fulcrum, Coleman spent years working in the civil engineering and consulting space where he applied GIS technology in utilities and construction projects.
Organizations worldwide trust Fulcrum’s SaaS-based data collection platform to capture and share reliable information about field activities, much faster than paper or other digital solutions. Standardized, easily customized, and well-integrated data collection delivers improved clarity for decision-making and better productivity for lower costs.
Trusted by more than 2,500 companies and 30,000 users in 100+ countries