WE MANAGE YOUR DATA LIFECYCLE

Data that will flow through the IT pipes is generally an after though, overlooked or underscoped. Given, a lot of data is ugly, data needs to be wrangled, engineered, transformed, cleaned, migrated, and more. Once in the new system, new feeds need to be added, and existing ingestion and integrations need to be maintained. Our staff bring experts in geopsatial, open, big, and IoT data production, product generation, service publishing, data management, data analysis and science.  Furthermore, you need more than 'staff augmentation' in data operations - you need a bit of 'data translation' when supporting end users, stakeholder, and non-techies as well as coordinate with the IT and infrastructure technical staff. Luckily, we speak geek and train our staff to value the mission line of sight and knowledge first approach to customer service. So whether your data is real-time, static, tabular, vector, raster, massive multi-temporal, highly-semantic and attributed, low veracity, our operators are prepared. Finally, our operators look to cotinuously improve our operations through DevOps, automating data pipelines, creating event-driven data validation services, enabling data anomaly detection and advisory services - all in the effort to achieve a higher-value data product and services solution.