In an industry where marginal improvements have a major impact, manufacturers should be analyzing all the data they can get their hands on.
With SQream integrated into their data pipeline, manufacturers can ingest, analyze, and correlate more data from more sources faster than ever before, to achieve and operationalize critical insights that enhance productivity and drive innovation. Rather than relying on small subsets, analyze your massive datasets for accurate predictive maintenance, optimized production, enhanced automation, reduced risk, and more.
Train your AI/ML models with massive data from various sources for accurate predictive insights that help minimize downtime, manage operational uncertainty, and reduce risk.
SQream allows you to analyze fresh data more quickly and frequently, facilitating continuous optimization of asset performance, ongoing process improvement, and waste avoidance.
Correlate data from multiple sources to identify factors that cause quality inconsistencies. Drill down to examine every segment of the production process to reveal underperforming components.
“SQream is uniquely positioned to provide enterprises with the solution they require to lower the barrier for accessing and analyzing rapidly growing, large-scale data stores.”
Chaoqun Zhan, Director of Alibaba Database Business at Alibaba Group