Analyze, process, and model data to create actionable plans
Recognizing areas in the industrial domain where advanced data analytics can make a difference.
Assess data availability
In the industrial domain, data can sometimes be unstructured, missing or even corrupt. IPCOS can cleanse and organize it, measuring against specifically defined standards – “data quality dimensions”. Those standards provide objective criteria for data quality and usability.
Design data infrastructure
Deploying new data technologies alongside legacy infrastructure to provide data integration and support.
Develop analytical models
Deriving, building and testing a model fitting the desired criteria and validating it against actual operating conditions to ensure robustness and viability.
Implementation of the analytical model
Deployment of the application into the target sites and integrating the new technology in the current work practices with minimum disruption to users and processes.
Training and support
Training users on the new technology and workflows to ensure proper adoption and change management.