Most companies ride three distinct waves on the cloud migration journey: supporting IT workloads, optimizing mission-critical systems and creating business value.
Three case studies demonstrate the ways process manufacturers are leveraging their advanced analytics applications to promote sustainable operations and business practices.
The new Seeq Process Health Solution applies analytics and machine learning to complex production, quality and optimization procedures in process manufacturing.
Cloud-based advanced analytics solutions play a critical role in accessing, cleansing, computing and reporting on sustainability KPIs.
Plan a digital transformation to save energy, improve quality and throughput or iron out supply chain wrinkles—but get started now.
Pharmaceutical manufacturers are optimizing business profitability through deployment of advanced analytical solutions.
Advanced analytics applications empower SMEs to quickly and intuitively isolate batch data and determine causes of run-to-run variabilities.
Advanced analytics applications provide asset management agility for municipalities.
By leveraging advanced analytics applications, refining and petrochemical companies are creating models to proactively decarbonize their operations, accelerating the clean energy transition.
By combining retrospective analysis with predictive tools, process manufacturers are using advanced analytics applications to build models, project failures, determine optimal maintenance schedules and increase uptime.