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Transform your operations with data engineering and AI

Complex supply chains are prompting industrial companies to push for complete visibility into the performance of their assets and logistics. Snowflake helps manufacturers digitize operations by integrating data from siloed sources and IoT-enabled sensors to deliver near real-time insights. We enable advanced analytics on highly customizable dashboards, providing faster access to quality data and insights for manufacturing leaders. Maximize efficiency, improve quality and reduce downtime with our comprehensive industrial analytics service. From IoT-based predictive maintenance to process optimization, we leverage cutting-edge technology to drive business outcomes.

Industrial manufacturing analytics for better decision-making

  • Create SSOT for data across plants, equipment, and geographies

  • Ingest real-time device data from multiple plants

  • Integrate manufacturing data from SCADA systems and IoT sensors

  • Centralize machine monitoring and diagnosis

  • Enable real-time, integrated, and omniscient supply chain

  • Centralized hub monitoring real-time data on dashboards

  • Streamline processes for end-to-end visibility into supply chain

  • Detect anomalies and recommend solutions

  • Ensure performance and minimize downtime with predictive insights

  • Improve productivity and overall equipment effectiveness

  • Enhance quality with anomaly detection and reliability analysis

  • Identify new emerging risk behaviors and reduce bad alerts

  • Enable live tracking and analytics implementation

  • Accelerate journey to autonomous operations with digital twin

  • Gain end-to-end visibility across inventory silos

  • Real-time intelligence and actionable recommendations

Customer success stories

15% increase in capacity utilization with automated Master Production Schedule for a Fortune 500 biopharma manufacturer

  • Near real-time visibility into operational metrics and KPIs
  • 15% increase in capacity utilization
  • 98% reduction in time for schedule generation

Automated preventive maintanance ML framework reduced irrelevant fault alerts by 70% for a leading industrial manufacture

  • 800+ sensors streaming data
  • 100 TB monthly data processed
  • Reduction in maintenance costs and irrelevant alerts

An AI system to deliver 2.5% improvement in OEE of machines, providing real-time alerting for a consumer goods manufacturer

  • Automated alerts with faster insights across 40+ manufacturing plants
  • 2.5% improvement in overall equipment effectiveness (OEE)
  • Reduction in downtime and manufacturing costs

Insights and perspectives

Customer testimonials

Michel Pandian

enhance decision-making with pre-built analytics assets and proprietary frameworks using our data engineering and AI/ML expertise.

Paul Raj

enhance decision-making with pre-built analytics assets and proprietary frameworks using our data engineering and AI/ML expertise.

Madhan Kumar

enhance decision-making with pre-built analytics assets and proprietary frameworks using our data engineering and AI/ML expertise.

Let’s talk data!

Want to get faster and higher returns on your data and analytics initiatives?